LEAPS: A Semantic Web and Linked data framework for the Algal Biomass Domain

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Presentation at IESD at iSWC2014. The application won the Intelligent Exploration of Semantic Data Challenge.

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IESD 2014 20th October 2014 Riva del Garda

LEAPS

Linked Entities for Algal Plant Sites

A Semantic Web and Linked dataframework for the Algal Biomass Domain

Monika SolankiAston Business School

Aston UniversityBirmingham UK

Joint work while at Birmingham City University withJohannes Skarka

Karlsruhe Institute of Technology ITAS

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Algal biomass as biofuels

Extensive research is being undertaken in the search andproduction of naturally viable and sustainable energysourcesThe idea that algae biomass based biofuels could serve asan alternative to fossil fuels has been embraced bycouncils across the globeMajor companies government bodies and dedicated nonprofit organisations are getting involvedThe domain is a rich source of datainformationknowledge

httpwwwalgalbiomassorghttpwwweaba-associationeu

httpwwwenalgaeeu

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

SW Linked data and the Algal Supply Chain

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

LEAPSLinked Entities for Algal Plant Sites

motivate the use of Semantic Web technologies and LODfor the algal biomass domainlaying out a set of ontological requirements for knowledgerepresentation that support the publication of algalbiomass dataelaborating on how algal biomass datasets are transformedto their corresponding RDF model representationinterlinking the generated RDF datasets along spatialdimensions with other datasets on the Web of datavisualising the linked datasets via an end user LOD RESTWeb service

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

LEAPSLinked Entities for Algal Plant Sites

ASPIRE A content based recommendation engine thatprovides recommendations for algal entities as perstakeholder preference profiles using bespoke proximitysearch algorithmsVisualisations over linked biomass datasets

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Competency questions for stage 1 datasetsData driven

Which are the algal operation sites with CO2 sources thathave CO2 emissions less than 130000 kgs where totalcosts of supplying CO2 is lower then 5000 GBP per ton ofCO2 areal yield is greater than 30 tons per hectare andwhich are located within the NUTS region ldquoUKM61rdquoSupplement the data with supporting information about theregionWhich are the top ten algal operation sites with the lowestimpact on global warming potentialFor a given algal operation site which are the first five mostcost effective combinations of light water nutrients andCO2 sources

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Ontological requirements

Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Ontologies for Algal Biomass Reuse

Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Ontologies for Algal Biomass Reuse

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

Ontologies for Algal Biomass Domainknowledge

Ontologies available at httppurlorgbiomassontologies

IESD 2014 20th October 2014 Riva del Garda

Lifting XML datasets to Linked dataRaw data

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Lifting XML datasets to Linked data

First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Lifting XML datasets to Linked data

Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Lifting XML datasets to Linked data

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Architecture Main components

Parsing modules

Ontologies

Linking engine

Triple store OWLIM SE 50

REST Web services

SPARQL endpoints

Web Interface

ASPIRE

Biological taxonomy visualisation

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

LEAPS Web application

wwwsemanticwebservicesorgenalgae

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Biological taxonomy visualisation

Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

httpwwwalgaebaseorg

httpsgephiorg

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Biological taxonomy visualisation

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Summary

The LEAPS framework exploits SW and LD for the algal biomasscommunity

enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

IESD 2014 20th October 2014 Riva del Garda

Many Thanks

msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

  • Motivation
  • Modelling Algal Biomass Knowledge
  • Lifting XML datasets to Linked data

    IESD 2014 20th October 2014 Riva del Garda

    Algal biomass as biofuels

    Extensive research is being undertaken in the search andproduction of naturally viable and sustainable energysourcesThe idea that algae biomass based biofuels could serve asan alternative to fossil fuels has been embraced bycouncils across the globeMajor companies government bodies and dedicated nonprofit organisations are getting involvedThe domain is a rich source of datainformationknowledge

    httpwwwalgalbiomassorghttpwwweaba-associationeu

    httpwwwenalgaeeu

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    SW Linked data and the Algal Supply Chain

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    LEAPSLinked Entities for Algal Plant Sites

    motivate the use of Semantic Web technologies and LODfor the algal biomass domainlaying out a set of ontological requirements for knowledgerepresentation that support the publication of algalbiomass dataelaborating on how algal biomass datasets are transformedto their corresponding RDF model representationinterlinking the generated RDF datasets along spatialdimensions with other datasets on the Web of datavisualising the linked datasets via an end user LOD RESTWeb service

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    LEAPSLinked Entities for Algal Plant Sites

    ASPIRE A content based recommendation engine thatprovides recommendations for algal entities as perstakeholder preference profiles using bespoke proximitysearch algorithmsVisualisations over linked biomass datasets

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Competency questions for stage 1 datasetsData driven

    Which are the algal operation sites with CO2 sources thathave CO2 emissions less than 130000 kgs where totalcosts of supplying CO2 is lower then 5000 GBP per ton ofCO2 areal yield is greater than 30 tons per hectare andwhich are located within the NUTS region ldquoUKM61rdquoSupplement the data with supporting information about theregionWhich are the top ten algal operation sites with the lowestimpact on global warming potentialFor a given algal operation site which are the first five mostcost effective combinations of light water nutrients andCO2 sources

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Ontological requirements

    Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Ontologies for Algal Biomass Reuse

    Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

    httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

    spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

    httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Ontologies for Algal Biomass Reuse

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    Ontologies for Algal Biomass Domainknowledge

    Ontologies available at httppurlorgbiomassontologies

    IESD 2014 20th October 2014 Riva del Garda

    Lifting XML datasets to Linked dataRaw data

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Lifting XML datasets to Linked data

    First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Lifting XML datasets to Linked data

    Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Lifting XML datasets to Linked data

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Architecture Main components

    Parsing modules

    Ontologies

    Linking engine

    Triple store OWLIM SE 50

    REST Web services

    SPARQL endpoints

    Web Interface

    ASPIRE

    Biological taxonomy visualisation

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    LEAPS Web application

    wwwsemanticwebservicesorgenalgae

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Biological taxonomy visualisation

    Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

    httpwwwalgaebaseorg

    httpsgephiorg

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Biological taxonomy visualisation

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Summary

    The LEAPS framework exploits SW and LD for the algal biomasscommunity

    enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

    proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

    defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

    using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

    providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    IESD 2014 20th October 2014 Riva del Garda

    Many Thanks

    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

    • Motivation
    • Modelling Algal Biomass Knowledge
    • Lifting XML datasets to Linked data

      IESD 2014 20th October 2014 Riva del Garda

      SW Linked data and the Algal Supply Chain

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      LEAPSLinked Entities for Algal Plant Sites

      motivate the use of Semantic Web technologies and LODfor the algal biomass domainlaying out a set of ontological requirements for knowledgerepresentation that support the publication of algalbiomass dataelaborating on how algal biomass datasets are transformedto their corresponding RDF model representationinterlinking the generated RDF datasets along spatialdimensions with other datasets on the Web of datavisualising the linked datasets via an end user LOD RESTWeb service

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      LEAPSLinked Entities for Algal Plant Sites

      ASPIRE A content based recommendation engine thatprovides recommendations for algal entities as perstakeholder preference profiles using bespoke proximitysearch algorithmsVisualisations over linked biomass datasets

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Competency questions for stage 1 datasetsData driven

      Which are the algal operation sites with CO2 sources thathave CO2 emissions less than 130000 kgs where totalcosts of supplying CO2 is lower then 5000 GBP per ton ofCO2 areal yield is greater than 30 tons per hectare andwhich are located within the NUTS region ldquoUKM61rdquoSupplement the data with supporting information about theregionWhich are the top ten algal operation sites with the lowestimpact on global warming potentialFor a given algal operation site which are the first five mostcost effective combinations of light water nutrients andCO2 sources

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Ontological requirements

      Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Ontologies for Algal Biomass Reuse

      Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

      httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

      spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

      httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Ontologies for Algal Biomass Reuse

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      Ontologies for Algal Biomass Domainknowledge

      Ontologies available at httppurlorgbiomassontologies

      IESD 2014 20th October 2014 Riva del Garda

      Lifting XML datasets to Linked dataRaw data

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Lifting XML datasets to Linked data

      First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Lifting XML datasets to Linked data

      Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Lifting XML datasets to Linked data

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Architecture Main components

      Parsing modules

      Ontologies

      Linking engine

      Triple store OWLIM SE 50

      REST Web services

      SPARQL endpoints

      Web Interface

      ASPIRE

      Biological taxonomy visualisation

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      LEAPS Web application

      wwwsemanticwebservicesorgenalgae

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Biological taxonomy visualisation

      Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

      httpwwwalgaebaseorg

      httpsgephiorg

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Biological taxonomy visualisation

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Summary

      The LEAPS framework exploits SW and LD for the algal biomasscommunity

      enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

      proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

      defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

      using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

      providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      IESD 2014 20th October 2014 Riva del Garda

      Many Thanks

      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

      • Motivation
      • Modelling Algal Biomass Knowledge
      • Lifting XML datasets to Linked data

        IESD 2014 20th October 2014 Riva del Garda

        LEAPSLinked Entities for Algal Plant Sites

        motivate the use of Semantic Web technologies and LODfor the algal biomass domainlaying out a set of ontological requirements for knowledgerepresentation that support the publication of algalbiomass dataelaborating on how algal biomass datasets are transformedto their corresponding RDF model representationinterlinking the generated RDF datasets along spatialdimensions with other datasets on the Web of datavisualising the linked datasets via an end user LOD RESTWeb service

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        LEAPSLinked Entities for Algal Plant Sites

        ASPIRE A content based recommendation engine thatprovides recommendations for algal entities as perstakeholder preference profiles using bespoke proximitysearch algorithmsVisualisations over linked biomass datasets

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Competency questions for stage 1 datasetsData driven

        Which are the algal operation sites with CO2 sources thathave CO2 emissions less than 130000 kgs where totalcosts of supplying CO2 is lower then 5000 GBP per ton ofCO2 areal yield is greater than 30 tons per hectare andwhich are located within the NUTS region ldquoUKM61rdquoSupplement the data with supporting information about theregionWhich are the top ten algal operation sites with the lowestimpact on global warming potentialFor a given algal operation site which are the first five mostcost effective combinations of light water nutrients andCO2 sources

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Ontological requirements

        Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Ontologies for Algal Biomass Reuse

        Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

        httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

        spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

        httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Ontologies for Algal Biomass Reuse

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        Ontologies for Algal Biomass Domainknowledge

        Ontologies available at httppurlorgbiomassontologies

        IESD 2014 20th October 2014 Riva del Garda

        Lifting XML datasets to Linked dataRaw data

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Lifting XML datasets to Linked data

        First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Lifting XML datasets to Linked data

        Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Lifting XML datasets to Linked data

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Architecture Main components

        Parsing modules

        Ontologies

        Linking engine

        Triple store OWLIM SE 50

        REST Web services

        SPARQL endpoints

        Web Interface

        ASPIRE

        Biological taxonomy visualisation

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        LEAPS Web application

        wwwsemanticwebservicesorgenalgae

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Biological taxonomy visualisation

        Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

        httpwwwalgaebaseorg

        httpsgephiorg

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Biological taxonomy visualisation

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Summary

        The LEAPS framework exploits SW and LD for the algal biomasscommunity

        enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

        proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

        defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

        using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

        providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        IESD 2014 20th October 2014 Riva del Garda

        Many Thanks

        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

        • Motivation
        • Modelling Algal Biomass Knowledge
        • Lifting XML datasets to Linked data

          IESD 2014 20th October 2014 Riva del Garda

          LEAPSLinked Entities for Algal Plant Sites

          ASPIRE A content based recommendation engine thatprovides recommendations for algal entities as perstakeholder preference profiles using bespoke proximitysearch algorithmsVisualisations over linked biomass datasets

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Competency questions for stage 1 datasetsData driven

          Which are the algal operation sites with CO2 sources thathave CO2 emissions less than 130000 kgs where totalcosts of supplying CO2 is lower then 5000 GBP per ton ofCO2 areal yield is greater than 30 tons per hectare andwhich are located within the NUTS region ldquoUKM61rdquoSupplement the data with supporting information about theregionWhich are the top ten algal operation sites with the lowestimpact on global warming potentialFor a given algal operation site which are the first five mostcost effective combinations of light water nutrients andCO2 sources

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Ontological requirements

          Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Ontologies for Algal Biomass Reuse

          Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

          httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

          spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

          httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Ontologies for Algal Biomass Reuse

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          Ontologies for Algal Biomass Domainknowledge

          Ontologies available at httppurlorgbiomassontologies

          IESD 2014 20th October 2014 Riva del Garda

          Lifting XML datasets to Linked dataRaw data

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Lifting XML datasets to Linked data

          First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Lifting XML datasets to Linked data

          Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Lifting XML datasets to Linked data

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Architecture Main components

          Parsing modules

          Ontologies

          Linking engine

          Triple store OWLIM SE 50

          REST Web services

          SPARQL endpoints

          Web Interface

          ASPIRE

          Biological taxonomy visualisation

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          LEAPS Web application

          wwwsemanticwebservicesorgenalgae

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Biological taxonomy visualisation

          Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

          httpwwwalgaebaseorg

          httpsgephiorg

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Biological taxonomy visualisation

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Summary

          The LEAPS framework exploits SW and LD for the algal biomasscommunity

          enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

          proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

          defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

          using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

          providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          IESD 2014 20th October 2014 Riva del Garda

          Many Thanks

          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

          • Motivation
          • Modelling Algal Biomass Knowledge
          • Lifting XML datasets to Linked data

            IESD 2014 20th October 2014 Riva del Garda

            Competency questions for stage 1 datasetsData driven

            Which are the algal operation sites with CO2 sources thathave CO2 emissions less than 130000 kgs where totalcosts of supplying CO2 is lower then 5000 GBP per ton ofCO2 areal yield is greater than 30 tons per hectare andwhich are located within the NUTS region ldquoUKM61rdquoSupplement the data with supporting information about theregionWhich are the top ten algal operation sites with the lowestimpact on global warming potentialFor a given algal operation site which are the first five mostcost effective combinations of light water nutrients andCO2 sources

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Ontological requirements

            Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Ontologies for Algal Biomass Reuse

            Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

            httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

            spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

            httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Ontologies for Algal Biomass Reuse

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            Ontologies for Algal Biomass Domainknowledge

            Ontologies available at httppurlorgbiomassontologies

            IESD 2014 20th October 2014 Riva del Garda

            Lifting XML datasets to Linked dataRaw data

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Lifting XML datasets to Linked data

            First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Lifting XML datasets to Linked data

            Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Lifting XML datasets to Linked data

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Architecture Main components

            Parsing modules

            Ontologies

            Linking engine

            Triple store OWLIM SE 50

            REST Web services

            SPARQL endpoints

            Web Interface

            ASPIRE

            Biological taxonomy visualisation

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            LEAPS Web application

            wwwsemanticwebservicesorgenalgae

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Biological taxonomy visualisation

            Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

            httpwwwalgaebaseorg

            httpsgephiorg

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Biological taxonomy visualisation

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Summary

            The LEAPS framework exploits SW and LD for the algal biomasscommunity

            enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

            proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

            defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

            using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

            providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            IESD 2014 20th October 2014 Riva del Garda

            Many Thanks

            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

            • Motivation
            • Modelling Algal Biomass Knowledge
            • Lifting XML datasets to Linked data

              IESD 2014 20th October 2014 Riva del Garda

              Ontological requirements

              Ontologies needed to representSpatiality location of possible algae cultivation siteslocation of the sources of consumables (CO2 nutrientsand water)Geometries area of the cultivation site - extentspolygons linear and ring arraysUnits and Measurements conventional measurementunits such as Kgs for quantities and hectares for areabespoke units of measurements ie Kgshectare orKgsannumTerritorial units for statistics core concepts of the NUTSsystemDomain specific knowledge algae cultivation sites CO2sources pipelines

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Ontologies for Algal Biomass Reuse

              Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

              httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

              spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

              httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Ontologies for Algal Biomass Reuse

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              Ontologies for Algal Biomass Domainknowledge

              Ontologies available at httppurlorgbiomassontologies

              IESD 2014 20th October 2014 Riva del Garda

              Lifting XML datasets to Linked dataRaw data

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Lifting XML datasets to Linked data

              First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Lifting XML datasets to Linked data

              Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Lifting XML datasets to Linked data

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Architecture Main components

              Parsing modules

              Ontologies

              Linking engine

              Triple store OWLIM SE 50

              REST Web services

              SPARQL endpoints

              Web Interface

              ASPIRE

              Biological taxonomy visualisation

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              LEAPS Web application

              wwwsemanticwebservicesorgenalgae

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Biological taxonomy visualisation

              Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

              httpwwwalgaebaseorg

              httpsgephiorg

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Biological taxonomy visualisation

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Summary

              The LEAPS framework exploits SW and LD for the algal biomasscommunity

              enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

              proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

              defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

              using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

              providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              IESD 2014 20th October 2014 Riva del Garda

              Many Thanks

              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

              • Motivation
              • Modelling Algal Biomass Knowledge
              • Lifting XML datasets to Linked data

                IESD 2014 20th October 2014 Riva del Garda

                Ontologies for Algal Biomass Reuse

                Spatial Data WGS84 spatial relations GeonamesNeoGeoGeometries WGS84 extended NeoGeoUnits and Measurements extended QUDT

                httpwwww3org200301geowgs84_poshttpwwwordnancesurveycoukoswebsiteontology

                spatialrelationsowlhttpwwwgeonamesorgontologyontology_v221rdf

                httpgeovocaborggeometryhttpqudtorg11vocabdimensionalunit

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Ontologies for Algal Biomass Reuse

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                Ontologies for Algal Biomass Domainknowledge

                Ontologies available at httppurlorgbiomassontologies

                IESD 2014 20th October 2014 Riva del Garda

                Lifting XML datasets to Linked dataRaw data

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Lifting XML datasets to Linked data

                First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Lifting XML datasets to Linked data

                Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Lifting XML datasets to Linked data

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Architecture Main components

                Parsing modules

                Ontologies

                Linking engine

                Triple store OWLIM SE 50

                REST Web services

                SPARQL endpoints

                Web Interface

                ASPIRE

                Biological taxonomy visualisation

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                LEAPS Web application

                wwwsemanticwebservicesorgenalgae

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Biological taxonomy visualisation

                Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                httpwwwalgaebaseorg

                httpsgephiorg

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Biological taxonomy visualisation

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Summary

                The LEAPS framework exploits SW and LD for the algal biomasscommunity

                enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                IESD 2014 20th October 2014 Riva del Garda

                Many Thanks

                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                • Motivation
                • Modelling Algal Biomass Knowledge
                • Lifting XML datasets to Linked data

                  IESD 2014 20th October 2014 Riva del Garda

                  Ontologies for Algal Biomass Reuse

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  Ontologies for Algal Biomass Domainknowledge

                  Ontologies available at httppurlorgbiomassontologies

                  IESD 2014 20th October 2014 Riva del Garda

                  Lifting XML datasets to Linked dataRaw data

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Lifting XML datasets to Linked data

                  First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Lifting XML datasets to Linked data

                  Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Lifting XML datasets to Linked data

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Architecture Main components

                  Parsing modules

                  Ontologies

                  Linking engine

                  Triple store OWLIM SE 50

                  REST Web services

                  SPARQL endpoints

                  Web Interface

                  ASPIRE

                  Biological taxonomy visualisation

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  LEAPS Web application

                  wwwsemanticwebservicesorgenalgae

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Biological taxonomy visualisation

                  Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                  httpwwwalgaebaseorg

                  httpsgephiorg

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Biological taxonomy visualisation

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Summary

                  The LEAPS framework exploits SW and LD for the algal biomasscommunity

                  enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                  proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                  defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                  using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                  providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  IESD 2014 20th October 2014 Riva del Garda

                  Many Thanks

                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                  • Motivation
                  • Modelling Algal Biomass Knowledge
                  • Lifting XML datasets to Linked data

                    Ontologies for Algal Biomass Domainknowledge

                    Ontologies available at httppurlorgbiomassontologies

                    IESD 2014 20th October 2014 Riva del Garda

                    Lifting XML datasets to Linked dataRaw data

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Lifting XML datasets to Linked data

                    First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Lifting XML datasets to Linked data

                    Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Lifting XML datasets to Linked data

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Architecture Main components

                    Parsing modules

                    Ontologies

                    Linking engine

                    Triple store OWLIM SE 50

                    REST Web services

                    SPARQL endpoints

                    Web Interface

                    ASPIRE

                    Biological taxonomy visualisation

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    LEAPS Web application

                    wwwsemanticwebservicesorgenalgae

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Biological taxonomy visualisation

                    Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                    httpwwwalgaebaseorg

                    httpsgephiorg

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Biological taxonomy visualisation

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Summary

                    The LEAPS framework exploits SW and LD for the algal biomasscommunity

                    enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                    proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                    defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                    using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                    providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    IESD 2014 20th October 2014 Riva del Garda

                    Many Thanks

                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                    • Motivation
                    • Modelling Algal Biomass Knowledge
                    • Lifting XML datasets to Linked data

                      IESD 2014 20th October 2014 Riva del Garda

                      Lifting XML datasets to Linked dataRaw data

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Lifting XML datasets to Linked data

                      First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Lifting XML datasets to Linked data

                      Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Lifting XML datasets to Linked data

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Architecture Main components

                      Parsing modules

                      Ontologies

                      Linking engine

                      Triple store OWLIM SE 50

                      REST Web services

                      SPARQL endpoints

                      Web Interface

                      ASPIRE

                      Biological taxonomy visualisation

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      LEAPS Web application

                      wwwsemanticwebservicesorgenalgae

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Biological taxonomy visualisation

                      Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                      httpwwwalgaebaseorg

                      httpsgephiorg

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Biological taxonomy visualisation

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Summary

                      The LEAPS framework exploits SW and LD for the algal biomasscommunity

                      enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                      proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                      defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                      using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                      providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      IESD 2014 20th October 2014 Riva del Garda

                      Many Thanks

                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                      • Motivation
                      • Modelling Algal Biomass Knowledge
                      • Lifting XML datasets to Linked data

                        IESD 2014 20th October 2014 Riva del Garda

                        Lifting XML datasets to Linked data

                        First stepThe first part of the data processing and the potentialcalculation are performed in a GIS-based model which wasdeveloped for this purpose using ArcGISRaw datasets with various origins and formats -transformed using bespoke computational algorithms to anArchGIS specific XML format

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Lifting XML datasets to Linked data

                        Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Lifting XML datasets to Linked data

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Architecture Main components

                        Parsing modules

                        Ontologies

                        Linking engine

                        Triple store OWLIM SE 50

                        REST Web services

                        SPARQL endpoints

                        Web Interface

                        ASPIRE

                        Biological taxonomy visualisation

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        LEAPS Web application

                        wwwsemanticwebservicesorgenalgae

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Biological taxonomy visualisation

                        Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                        httpwwwalgaebaseorg

                        httpsgephiorg

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Biological taxonomy visualisation

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Summary

                        The LEAPS framework exploits SW and LD for the algal biomasscommunity

                        enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                        proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                        defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                        using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                        providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        IESD 2014 20th October 2014 Riva del Garda

                        Many Thanks

                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                        • Motivation
                        • Modelling Algal Biomass Knowledge
                        • Lifting XML datasets to Linked data

                          IESD 2014 20th October 2014 Riva del Garda

                          Lifting XML datasets to Linked data

                          Second stepThe original data sources had several limitations and aone-to-one transformation was not possibleA bespoke parser that exploits XPath to selectively querythe XML datasets and generate linked data wasimplementedIt utilises a complex underlying data structure to facilitatethe transformationFour datasets were transformed and stored in distributedtriple store repositories

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          Lifting XML datasets to Linked data

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          Architecture Main components

                          Parsing modules

                          Ontologies

                          Linking engine

                          Triple store OWLIM SE 50

                          REST Web services

                          SPARQL endpoints

                          Web Interface

                          ASPIRE

                          Biological taxonomy visualisation

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          LEAPS Web application

                          wwwsemanticwebservicesorgenalgae

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          Biological taxonomy visualisation

                          Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                          httpwwwalgaebaseorg

                          httpsgephiorg

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          Biological taxonomy visualisation

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          Summary

                          The LEAPS framework exploits SW and LD for the algal biomasscommunity

                          enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                          proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                          defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                          using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                          providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          IESD 2014 20th October 2014 Riva del Garda

                          Many Thanks

                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                          • Motivation
                          • Modelling Algal Biomass Knowledge
                          • Lifting XML datasets to Linked data

                            IESD 2014 20th October 2014 Riva del Garda

                            Lifting XML datasets to Linked data

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            Architecture Main components

                            Parsing modules

                            Ontologies

                            Linking engine

                            Triple store OWLIM SE 50

                            REST Web services

                            SPARQL endpoints

                            Web Interface

                            ASPIRE

                            Biological taxonomy visualisation

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            LEAPS Web application

                            wwwsemanticwebservicesorgenalgae

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            Biological taxonomy visualisation

                            Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                            httpwwwalgaebaseorg

                            httpsgephiorg

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            Biological taxonomy visualisation

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            Summary

                            The LEAPS framework exploits SW and LD for the algal biomasscommunity

                            enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                            proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                            defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                            using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                            providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            IESD 2014 20th October 2014 Riva del Garda

                            Many Thanks

                            msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                            • Motivation
                            • Modelling Algal Biomass Knowledge
                            • Lifting XML datasets to Linked data

                              IESD 2014 20th October 2014 Riva del Garda

                              Architecture Main components

                              Parsing modules

                              Ontologies

                              Linking engine

                              Triple store OWLIM SE 50

                              REST Web services

                              SPARQL endpoints

                              Web Interface

                              ASPIRE

                              Biological taxonomy visualisation

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              IESD 2014 20th October 2014 Riva del Garda

                              LEAPS Web application

                              wwwsemanticwebservicesorgenalgae

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              IESD 2014 20th October 2014 Riva del Garda

                              ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              IESD 2014 20th October 2014 Riva del Garda

                              Biological taxonomy visualisation

                              Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                              httpwwwalgaebaseorg

                              httpsgephiorg

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              IESD 2014 20th October 2014 Riva del Garda

                              Biological taxonomy visualisation

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              IESD 2014 20th October 2014 Riva del Garda

                              Summary

                              The LEAPS framework exploits SW and LD for the algal biomasscommunity

                              enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                              proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                              defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                              using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                              providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              IESD 2014 20th October 2014 Riva del Garda

                              Many Thanks

                              msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                              • Motivation
                              • Modelling Algal Biomass Knowledge
                              • Lifting XML datasets to Linked data

                                IESD 2014 20th October 2014 Riva del Garda

                                LEAPS Web application

                                wwwsemanticwebservicesorgenalgae

                                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                IESD 2014 20th October 2014 Riva del Garda

                                ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                IESD 2014 20th October 2014 Riva del Garda

                                Biological taxonomy visualisation

                                Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                                httpwwwalgaebaseorg

                                httpsgephiorg

                                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                IESD 2014 20th October 2014 Riva del Garda

                                Biological taxonomy visualisation

                                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                IESD 2014 20th October 2014 Riva del Garda

                                Summary

                                The LEAPS framework exploits SW and LD for the algal biomasscommunity

                                enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                                proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                                defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                                using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                                providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                IESD 2014 20th October 2014 Riva del Garda

                                Many Thanks

                                msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                • Motivation
                                • Modelling Algal Biomass Knowledge
                                • Lifting XML datasets to Linked data

                                  IESD 2014 20th October 2014 Riva del Garda

                                  ASPIREA content based recommendation service for algal siteentitiesRecommendations are made based on stakeholderpreference models defined in their ontological profiles aslinked dataAlgal datasets are a combination of continuous andcategorical data entitiesAn adaption of Gowerrsquos similarity measure is used tocomputed similarities between the entities to proposerecommendations

                                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                  IESD 2014 20th October 2014 Riva del Garda

                                  Biological taxonomy visualisation

                                  Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                                  httpwwwalgaebaseorg

                                  httpsgephiorg

                                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                  IESD 2014 20th October 2014 Riva del Garda

                                  Biological taxonomy visualisation

                                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                  IESD 2014 20th October 2014 Riva del Garda

                                  Summary

                                  The LEAPS framework exploits SW and LD for the algal biomasscommunity

                                  enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                                  proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                                  defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                                  using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                                  providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                  IESD 2014 20th October 2014 Riva del Garda

                                  Many Thanks

                                  msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                  • Motivation
                                  • Modelling Algal Biomass Knowledge
                                  • Lifting XML datasets to Linked data

                                    IESD 2014 20th October 2014 Riva del Garda

                                    Biological taxonomy visualisation

                                    Algaebase is the largest information source of algae on theWebThe algaebase dataset is not directly available to bedownloadedThe dataset was retrieved using a bespoke informationretrieval algorithm and curated within our triple store aslinked dataThe Semantic Import plugin of Gephi has been exploited tovisualise the biological taxonomy of algae

                                    httpwwwalgaebaseorg

                                    httpsgephiorg

                                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                    IESD 2014 20th October 2014 Riva del Garda

                                    Biological taxonomy visualisation

                                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                    IESD 2014 20th October 2014 Riva del Garda

                                    Summary

                                    The LEAPS framework exploits SW and LD for the algal biomasscommunity

                                    enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                                    proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                                    defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                                    using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                                    providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                    IESD 2014 20th October 2014 Riva del Garda

                                    Many Thanks

                                    msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                    • Motivation
                                    • Modelling Algal Biomass Knowledge
                                    • Lifting XML datasets to Linked data

                                      IESD 2014 20th October 2014 Riva del Garda

                                      Biological taxonomy visualisation

                                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                      IESD 2014 20th October 2014 Riva del Garda

                                      Summary

                                      The LEAPS framework exploits SW and LD for the algal biomasscommunity

                                      enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                                      proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                                      defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                                      using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                                      providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                      IESD 2014 20th October 2014 Riva del Garda

                                      Many Thanks

                                      msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                      • Motivation
                                      • Modelling Algal Biomass Knowledge
                                      • Lifting XML datasets to Linked data

                                        IESD 2014 20th October 2014 Riva del Garda

                                        Summary

                                        The LEAPS framework exploits SW and LD for the algal biomasscommunity

                                        enabling the screening of data for promising individual plant sitesand provides base data for more detailed planning purposes

                                        proposing a set of domain specific ontologies for algal plantsites CO2 and pipelines to be shared and extended by thecommunity

                                        defining a linked data publishing architecture that transforms rawdata in disparate formats to a uniform XML representation

                                        using a set of well established and domain specific ontologies asmetadata to transform it further into linked data

                                        providing various data access options such as a SPARQLendpoint an interactive Google map interface and a REST APIfor making the data accessible to stakeholders

                                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                        IESD 2014 20th October 2014 Riva del Garda

                                        Many Thanks

                                        msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                        • Motivation
                                        • Modelling Algal Biomass Knowledge
                                        • Lifting XML datasets to Linked data

                                          IESD 2014 20th October 2014 Riva del Garda

                                          Many Thanks

                                          msolankiastonacuk nimonika Linked Entities for Algal Plant Sites (LEAPS)

                                          • Motivation
                                          • Modelling Algal Biomass Knowledge
                                          • Lifting XML datasets to Linked data

                                            top related