Scientific social tagging

www.aquaringweb.euECP 2005 CULT 038261

Dublin Core Social Tagging Workshop 2009Dublin Core Social Tagging Workshop 2009

Scientific social tagging:Scientific social tagging:background knowledge comes to surface background knowledge comes to surface

Stefano BianchiStefano Bianchi

Milan, June 10th 2009Milan, June 10th 2009 DC Social Tagging Workshop 2009DC Social Tagging Workshop 2009 22

ECP 2005 CULT 038261

www.aquaringweb.euwww.aquaringweb.eu

BackgroundBackground

Scientific institutions create, manage and store Scientific institutions create, manage and store thousands of thousands of digital contentsdigital contents (images, video, documents etc.) for their (images, video, documents etc.) for their institutional mission (research, edutainment etc.)institutional mission (research, edutainment etc.)

ClassifyingClassifying and and aggregatingaggregating such contents is a such contents is a benefitbenefito for the scientific institutions, to ease management and reusefor the scientific institutions, to ease management and reuseo for the “community”, once contents are published onlinefor the “community”, once contents are published online

ONTOLOGYONTOLOGYknowledge formalizationknowledge formalization

++METADATAMETADATA

enhanced content annotationenhanced content annotation

HOW?HOW?


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AquaRing projectAquaRing project

eContenteContentPlusPlus EC funded programme – CALL 2005 EC funded programme – CALL 2005o FOCUS: Cultural and scientific/scholarly contentFOCUS: Cultural and scientific/scholarly content

Project Project www.www.aquaringwebaquaringweb..eueu (Sept.06-Mar.09) (Sept.06-Mar.09)

o a European cross-border a European cross-border virtual global knowledge and content virtual global knowledge and content spacespace on on aquatic environment and resourcesaquatic environment and resources

CoordinationCoordination

IT providersIT providers

EvaluationEvaluation

DisseminationDissemination

Knowledge &Knowledge &content content providersproviders


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??

??

Distributedcontent space

Users

Centralised access

Additional content

providers

OverviewOverview

DETAILS >


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ChallengeChallenge

integrated, semantic-based, cross-border digital collectionintegrated, semantic-based, cross-border digital collection of cultural and scientific contents of cultural and scientific contents on on aquatic and marine sciencesaquatic and marine sciences

== complex knowledge domaincomplex knowledge domain

DYNAMICDYNAMIC

HUGEHUGE

HETEROGENEOUSHETEROGENEOUS

E.g. FishBase (www.fishbase.org)

- 31,200 Species - 276,500 Common names

…only fish!

E.g. FishBase (www.fishbase.org)

- 31,200 Species - 276,500 Common names

…only fish!

Species, Land, Habitats, Environment, Fishing areas, Vessels, Leisure etc. Different languages, different audiences, different formats etc.

Species, Land, Habitats, Environment, Fishing areas, Vessels, Leisure etc. Different languages, different audiences, different formats etc.


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DifficultiesDifficulties

Huge, heterogeneous and dynamic knowledge domainHuge, heterogeneous and dynamic knowledge domaino Marine Biology, Aquatic Sciences, Aquatic Environment, Aquatic and Marine Biology, Aquatic Sciences, Aquatic Environment, Aquatic and

marine activities and technology, Marine Culture and Leisure, marine activities and technology, Marine Culture and Leisure, Education and Awareness etc. etc.Education and Awareness etc. etc.

Several different large ontologies/thesauri exist Several different large ontologies/thesauri exist butbut no one covers the whole domainno one covers the whole domaino Integration/merging to achieve adequate coverageIntegration/merging to achieve adequate coverageo Introduction of new knowledge as it appearsIntroduction of new knowledge as it appears

Mandatory interoperability with ongoing scientific initiativesMandatory interoperability with ongoing scientific initiativeso Future extensions/collaborations/data exchangeFuture extensions/collaborations/data exchangeo Considering inclusion in Europeana (Considering inclusion in Europeana (www.europeana.euwww.europeana.eu))


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Remedial actionsRemedial actions

To adopt a standard metadata model (DC) To adopt a standard metadata model (DC) o To ensure future interoperability with other organisations / initiativesTo ensure future interoperability with other organisations / initiatives

To use To use state-of-the-artstate-of-the-art existing ontologies existing ontologies o provided by reliable organisations in the fieldprovided by reliable organisations in the field

To transform To transform state-of-the-artstate-of-the-art existing thesauri/DB views into ontologies existing thesauri/DB views into ontologieso E.g. conversion of ASFA thesaurus into an ontologyE.g. conversion of ASFA thesaurus into an ontologyo E.g. Habitats db view from European Environment AgencyE.g. Habitats db view from European Environment Agency

To create a new ontology for uncovered sub-domainsTo create a new ontology for uncovered sub-domainso using reliable scientific data as sources (E.g. EDUcational ontology)using reliable scientific data as sources (E.g. EDUcational ontology)

To support a mixed annotation approach To support a mixed annotation approach ((ontologies + hierarchical free tagsontologies + hierarchical free tags))

o to use knowledge from ontologies and incorporate new knowledgeto use knowledge from ontologies and incorporate new knowledge

To implement an ontology learning approach To implement an ontology learning approach o to learn from content annotation creating a unified ontologyto learn from content annotation creating a unified ontology


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ApproachApproach

How can How can semanticssemantics support a support a cross-border cross-border virtual global knowledge virtual global knowledge andand content space content space on on aquatic environment aquatic environment andand resources resources??

ContentsContentso managementmanagemento annotationannotation

• semantics (meaning) semantics (meaning) **– MetadataMetadata

» data about data (e.g. “identity card” of a resource)data about data (e.g. “identity card” of a resource)– OntologyOntology

» ““an ontology is an explicit specification [i.e. formalization] of a conceptualization” an ontology is an explicit specification [i.e. formalization] of a conceptualization” [Gruber,1993]… [Gruber,1993]… concepts + relationsconcepts + relations

KnowledgeKnowledgeo generationgeneration

• from generic to specific from generic to specific can annotation create new knowledge? can annotation create new knowledge?o exploitationexploitation

• content annotation content annotation **: semantics for domain-focused tagging: semantics for domain-focused tagging• content retrieval: semantics to refine search and guide navigationcontent retrieval: semantics to refine search and guide navigation

CONTEXTUALIZATION


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Content managementContent management

How contents are managed?How contents are managed?o contents are locally collected and arrangedcontents are locally collected and arranged

into collections (folders) and then simplyinto collections (folders) and then simplymoved to a dedicated server (http/ftp)moved to a dedicated server (http/ftp)

o basic metadata for basic metadata for allall digital contents digital contents uploaded are automatically created and uploaded are automatically created and ready for semantic annotationready for semantic annotation


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Content annotationContent annotation

How contents are annotated?How contents are annotated?o once uploaded, each content/collection has a once uploaded, each content/collection has a metadatametadata record record

associated, ready to be enriched with information specifying “what associated, ready to be enriched with information specifying “what the resource is about” (the resource is about” (subjectsubject))

o tags for tags for subjectsubject can be then selected can be then selected from from a)a) seven multidisciplinary ontologies seven multidisciplinary ontologies covering different aspects of the aquaticcovering different aspects of the aquaticworld or world or b)b) can be entered freely to fill can be entered freely to fill possible gaps in coverage of each ontologypossible gaps in coverage of each ontology

• distinction is tracked for quality check!distinction is tracked for quality check!

o only once all mandatory fields are filled only once all mandatory fields are filled the content is published onlinethe content is published online

• NOTE: annotation is inherited for collections!NOTE: annotation is inherited for collections!

SubjectSubject::Hyppocamous sppHyppocamous sppNE ATLANTICNE ATLANTIC


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Knowledge generationKnowledge generation

How knowledge is generated?How knowledge is generated?o Semi-automatic ontology learning processSemi-automatic ontology learning process

• Relations between concepts used for annotation are Relations between concepts used for annotation are semi-automaticallysemi-automatically created on the basis of the specific contextual content annotationscreated on the basis of the specific contextual content annotations

SPECIESSPECIES HABITATSHABITATSlives inlives in

Hippocampus sppHippocampus spp NE ATLANTICNE ATLANTIClives inlives in

SubjectSubject::Hippocampus sppHippocampus sppNE ATLANTICNE ATLANTIC


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Knowledge-based content retrievalKnowledge-based content retrieval

How contents are retrieved?How contents are retrieved?o Services exploits annotations and generated knowledgeServices exploits annotations and generated knowledge

• To focus better search and navigation resultsTo focus better search and navigation results• To suggest refinementsTo suggest refinements• To ease content navigation and useTo ease content navigation and use

Hippocampus sppHippocampus spp

is affected byis affected by

Hippocampus sppHippocampus spp SEARCHSEARCH

is studied byis studied by

lives inlives in AquariologyAquariology

Illegal fishingIllegal fishing

NE AtlanticNE Atlantic

Hippocampus spp!Hippocampus spp!

Aquariology!Aquariology!


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SEMANTICSSEMANTICS

ServicesServices

Back-officeBack-officeo content management, knowledge formalizationcontent management, knowledge formalization

• Metadata editor (http://metadata.aquaringweb.eu)Metadata editor (http://metadata.aquaringweb.eu)• Ontology editor (http://ontology.aquaringweb.eu)Ontology editor (http://ontology.aquaringweb.eu)

Front-officeFront-office (http://www.aquaringweb.eu) (http://www.aquaringweb.eu)

o content provision, knowledge exploitationcontent provision, knowledge exploitation• multilanguage dynamic site frameworkmultilanguage dynamic site framework• (semantic) search engine (5 customised + 1 general)(semantic) search engine (5 customised + 1 general)• (semantic) tag cloud(semantic) tag cloud• virtual exhibitionsvirtual exhibitions• GoogleMaps-based interactive mapGoogleMaps-based interactive map

RESTRICTED RESTRICTED ACCESS!ACCESS!


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SemanticsSemantics

WHY?WHY?o To improve semantic-based content annotationTo improve semantic-based content annotationo To support semantic-based retrieval and navigation of contentsTo support semantic-based retrieval and navigation of contents

HOW?HOW?o Identification / adaptation of a suitable metadata formalismIdentification / adaptation of a suitable metadata formalism

• Based on Based on assessedassessed & & interoperableinteroperable metadata standards metadata standards

o Research / definition of a suitable domain ontologyResearch / definition of a suitable domain ontology• Scientific / technical evaluation of existing ontologiesScientific / technical evaluation of existing ontologies• Reliability / suitability / application domain / multilingual supportReliability / suitability / application domain / multilingual support• Merge / combine of existing ontologiesMerge / combine of existing ontologies

o Mechanisms to allow multilingual user interactionMechanisms to allow multilingual user interaction• Support for consortium languages + EnglishSupport for consortium languages + English• Multilingual annotationsMultilingual annotations• Multilingual ontologiesMultilingual ontologies


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MetadataMetadata

DublinCore QualifiedDublinCore Qualifiedo 24 elements (DCMES’ 15 plus some refinements)24 elements (DCMES’ 15 plus some refinements)

o 10 mandatory elements10 mandatory elements– Title, Audience, Abstract, Publisher, Type, Language, Subject, Format, Identifier, DateTitle, Audience, Abstract, Publisher, Type, Language, Subject, Format, Identifier, Date

o 4 purpose-based element groupings4 purpose-based element groupings• Core ElementsCore Elements

– Title, Audience, Abstract, Publisher, Type, Language, Rights, CreatorTitle, Audience, Abstract, Publisher, Type, Language, Rights, Creator

• Semantic AnnotationSemantic Annotation– Subject (terms selected from 7 ontologies + free tags)Subject (terms selected from 7 ontologies + free tags)

• Physical ResourcePhysical Resource– Format, Identifier, Date of creation, Date of Availability, Date of Issuing, Date of Validity, Format, Identifier, Date of creation, Date of Availability, Date of Issuing, Date of Validity,

Format extentFormat extent

• Additional ElementsAdditional Elements– Contributor, Bibliographic Citations, Source, HasVersion, Replaces, Requires, HasPart, Contributor, Bibliographic Citations, Source, HasVersion, Replaces, Requires, HasPart,

References, HasFormat, SpatialCoverage, Temporal CoverageReferences, HasFormat, SpatialCoverage, Temporal Coverage


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InstancesInstances

Instances used to annotate a translation of the original resourceInstances used to annotate a translation of the original resourceo Mandatory Mandatory

• to create at least one instance for each metadata record to create at least one instance for each metadata record • to create at least one annotation of the resource in Englishto create at least one annotation of the resource in English

– the metadata record or an instancethe metadata record or an instance

• to create an instance in the annotator’s native language (configurable)to create an instance in the annotator’s native language (configurable)

TitleTitle Title in the instance languageTitle in the instance language

AbstractAbstract Abstract in the instance languageAbstract in the instance language

DateDate Date of creation, modification, issuing, availability and /or validityDate of creation, modification, issuing, availability and /or validity

FormatFormat MIME typeMIME type

Format ExtentFormat Extent Size and / or durationSize and / or duration

IdentifierIdentifier Physical location of resourcePhysical location of resource

LanguageLanguage Language of the translationLanguage of the translation


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OntologyOntology

… … 77 ontologiesontologies selected for content annotation selected for content annotation1.1. Biological SpeciesBiological Species2.2. Fishing AreasFishing Areas3.3. Land AreasLand Areas4.4. VesselsVessels5.5. HabitatsHabitats

• programmatically developed from EUNIS Habitat types classificationprogrammatically developed from EUNIS Habitat types classification

6.6. ASFA (AQUATIC SCIENCES AND FISHERIES ABSTRACTS)ASFA (AQUATIC SCIENCES AND FISHERIES ABSTRACTS)• programmatically developed from ASFA thesaurus, provided by FAOprogrammatically developed from ASFA thesaurus, provided by FAO

7.7. EDUcationEDUcation• derived from DCMI, LOM, DC-Ed AP, LRE, IMATI ITDderived from DCMI, LOM, DC-Ed AP, LRE, IMATI ITD

Hierarchical free tags annotation mechanismHierarchical free tags annotation mechanism

AquaRing ontology generated by annotation (ontology learning)AquaRing ontology generated by annotation (ontology learning)o including relationships among the seven ontologies and merging free tagsincluding relationships among the seven ontologies and merging free tagso ontology editor for non-expertsontology editor for non-experts** developed for manual refinements developed for manual refinements

By FAOBy FAOdeveloped by EC project Neon developed by EC project Neon ((www.neon-project.org))


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Domain coverageDomain coverage

Species

Fishing Areas

Land

Vessels

Habitats

ASFA (general)

EDUcation

What if a species I need is missing?

But only checked names & correct classification,

please… we are scientists!

What if a species I need is missing?

But only checked names & correct classification,

please… we are scientists!

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS

FREEFREETAGSTAGS


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FreeFree tags tags

Free tags allowed for each sub-domain (ontology) Free tags allowed for each sub-domain (ontology) o to fill in domain gaps not covered by the selected ontologiesto fill in domain gaps not covered by the selected ontologieso functionality available at annotation timefunctionality available at annotation timeo results reusable by all annotatorsresults reusable by all annotators

Annotators advised to consult Annotators advised to consult preferredpreferred thesauri thesaurio GEMETGEMET, Environment field, Environment fieldo AGROVOCAGROVOC, Agricultural field (but covers partially Marine Biology), Agricultural field (but covers partially Marine Biology)o AQUATEXTAQUATEXT, Online Aquaculture Dictionary , Online Aquaculture Dictionary o MarineSpeciesMarineSpecies, Marine organisms names, Marine organisms nameso FishBaseFishBase, contains most of fish species known to science , contains most of fish species known to science o EUROVOCEUROVOC, EC activity multilingual thesaurus, EC activity multilingual thesaurus

““Guided” free tags Guided” free tags (+ ontology editing!)(+ ontology editing!)


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Ontology learning approachOntology learning approach

ONTOLOGY AONTOLOGY A

ONTOLOGY BONTOLOGY B

ONTOLOGY CONTOLOGY C

“concepts = keywords” used for annotation “concepts = keywords” used for annotation

semi-automatically generated relations semi-automatically generated relations

HIERARCHICALFREE TAGS

HIERARCHICALFREE TAGS


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Ontology editorOntology editor

AquaRing ontology enrichment and improvement (AquaRing ontology enrichment and improvement (for non-expertfor non-expert**))o Terms and free tags translations (multilingual system!)Terms and free tags translations (multilingual system!)o Relationships managementRelationships managemento Free tags managementFree tags management


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ResultsResults

Relations Relations ##

AffectsAffects 18761876

ConsidersConsiders 332332

DescribesDescribes 22

ExploitsExploits 4747

Lies inLies in 37573757

Occurs_inOccurs_in 49024902

OwnsOwns 4343

StudiesStudies 62546254

UsesUses 11511151

Includes familyIncludes family 16961696

Includes orderIncludes order 110110

Includes speciesIncludes species 459459

Related toRelated to 122122

OntologyOntology # of concepts# of concepts

Biological Species (Free Tags)Biological Species (Free Tags) 68116811

Biological SpeciesBiological Species 2234322343

Educational (Free Tags)Educational (Free Tags) 9090

EducationalEducational 854854

Fishing Areas (Free Tags)Fishing Areas (Free Tags) 12971297

Fishing AreasFishing Areas 35833583

Habitats (Free Tags)Habitats (Free Tags) 14701470

HabitatsHabitats 57645764

Land Areas (Free Tags)Land Areas (Free Tags) 10591059

Land AreasLand Areas 50495049

Marine Biology (Free Tags)Marine Biology (Free Tags) 50665066

Marine BiologyMarine Biology 2418824188

Vessels (Free Tags)Vessels (Free Tags) 2828

VesselsVessels 9393

AquaRing ontologyAquaRing ontologyover 75,000!over 75,000!

over 20,000!*over 20,000!*

* Over 160,000 with translations!


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BenefitsBenefits

Access to resources classified in AquaRing knowledge sub-Access to resources classified in AquaRing knowledge sub-domainsdomains

Search performed according to resource meaning and user Search performed according to resource meaning and user preferencespreferenceso User’s preferences: audience type, language, format, etc. User’s preferences: audience type, language, format, etc.

• e.g. “videos for children in French”e.g. “videos for children in French”

Ontology terms suggested to refine/complete the searchOntology terms suggested to refine/complete the searcho Knowledge exploration – Knowledge exploration – domain-based guided serendipitydomain-based guided serendipity!!

Access to resources grouped by a representation of usage Access to resources grouped by a representation of usage degree of ontology terms in annotations (+ relations with other degree of ontology terms in annotations (+ relations with other terms)terms)

• Tag cloud-based navigation + relationsTag cloud-based navigation + relations


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Semantic technology (and Semantic web) still considerably Semantic technology (and Semantic web) still considerably unknownunknown in domains in domains where CMS and IS might benefit from such formalised approacheswhere CMS and IS might benefit from such formalised approacheso simple yet effectivesimple yet effective knowledge-based solutions are usually positively evaluated by knowledge-based solutions are usually positively evaluated by

content providerscontent providers

Semantic technology’s Semantic technology’s take-up hamperedtake-up hampered by difficulties related to the proper by difficulties related to the proper formalizationformalization of complex scientific knowledge ( of complex scientific knowledge (ontology engineeringontology engineering) and ) and classificationclassification of contents ( of contents (semantic annotationsemantic annotation))

Semantic content annotation is a valuable source of information to generate new Semantic content annotation is a valuable source of information to generate new domain knowledgedomain knowledgeo From content contextualization to knowledge formalizationFrom content contextualization to knowledge formalization

Semi-automatic generation is effective Semi-automatic generation is effective provided thatprovided that according to the domain according to the domain ((e.g. science, healthe.g. science, health) manual check is allowed / enabled () manual check is allowed / enabled (QoS problemQoS problem))o ““Freedom” is related to the application domain & objectivesFreedom” is related to the application domain & objectiveso ““Hierarchical” free tags more meaningful than “flat” free tagsHierarchical” free tags more meaningful than “flat” free tagso ““Guided” free tag approach minimizes contextual noiseGuided” free tag approach minimizes contextual noise

Lessons learntLessons learnt


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www.aquaringweb.eu

Contacts

Stefano BianchiResearch Team [email protected]. +39 010 6026 368Fax. +39 010 6026 350

www.softeco.it

Contacts

Stefano BianchiResearch Team [email protected]. +39 010 6026 368Fax. +39 010 6026 350

www.softeco.it

Thanks for your attention!Thanks for your attention!


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About contextualization…About contextualization…

Why is Why is contextualizationcontextualization important? important?

http://www.sccwrp.org/view.php?id=82http://www.sccwrp.org/view.php?id=82

chlorophyll-achlorophyll-a

low oxygenlow oxygen

macroalgal bloomsmacroalgal blooms

aquatic vegetationaquatic vegetation

eutrophic estuaryeutrophic estuary

nutrient enrichmentnutrient enrichment

NICE IMRESSIONIST LANDSCAPE?NICE IMRESSIONIST LANDSCAPE?


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About contextualization…About contextualization…

How can How can contextualizationcontextualization help? help?

JUST A SHARK?JUST A SHARK?

Scientific classificationScientific classification

AnimaliaAnimalia Chordata Chordata Vertebrata Vertebrata Chondrichthyes Chondrichthyes Elasmobranchii Elasmobranchii Euselachii Euselachii Carcharhiniformes Carcharhiniformes Carcharhinidae Carcharhinidae Galeocerdo Galeocerdo Galeocerdo cuvierGaleocerdo cuvier

Human impactHuman impact

BYCATCHBYCATCHLINE-FISHINGLINE-FISHINGSHARK FISHERYSHARK FISHERYFINNINGFINNINGFISHERY REGULATIONSFISHERY REGULATIONSFISHERY MORTAL DATAFISHERY MORTAL DATAFISHERY DATAFISHERY DATAHISTORICAL FISHINGHISTORICAL FISHINGENDANGERED SPECIESENDANGERED SPECIES

Geographical areaGeographical area

EC PACIFICEC PACIFICWC PACIFICWC PACIFICEC ATLANTICEC ATLANTICWC ATLANTICWC ATLANTICINDIAN OCEAN INDIAN OCEAN < BACK


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Final demonstration prototypeFinal demonstration prototype

www.aquaringweb.eu


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Search engineSearch engine

RELATIONSRELATIONSto extend to extend and refine and refine the search the search on the basis on the basis of the of the AquaRing AquaRing ontologyontology

CONTENTSCONTENTS

Hippocampus sppHippocampus spp SEARCHSEARCH


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Tag cloudTag cloud

CONTENTSCONTENTS

TAGS (ontology concepts): “the larger the font, the more the contents”TAGS (ontology concepts): “the larger the font, the more the contents”

RELATIONSRELATIONSto ease to ease navigation navigation on the basis on the basis of the of the AquaRing AquaRing ontologyontology


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Virtual exhibitionsVirtual exhibitions

Build value-added learning paths on top of aggregated digital content collectionsBuild value-added learning paths on top of aggregated digital content collections


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Virtual exhibitionsVirtual exhibitions

NAVIGATIONNAVIGATION

ROOMSROOMS

CONTENTCONTENT

DESCRIPTIONDESCRIPTION


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VideoVideo

TOPIC BROWSERTOPIC BROWSERVIDEO BROWSERVIDEO BROWSER

FLASH PREVIEWFLASH PREVIEW

DOWNLOADDOWNLOAD


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MapMap

Web 2.0 GoogleMaps API based content visualizationWeb 2.0 GoogleMaps API based content visualization

< BACK


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Architecture detailsArchitecture details

CONTENTMANAGEMENT

Easily reachable from inside(to move contents from local PCs to the server – FTP facility)

Easily reachable from outside(to retrieve contents from the portal – HTTP facility)

Central Central systemsystem

Semantic Semantic repositoryrepository(metadata + (metadata + ontologies)ontologies)

PortalPortal

AdministratioAdministration servicesn services

User servicesUser services

Global Content Space Global Content Space NodeNode

Server

Contents

Content ManagementServices

INTER

NE

INTER

NETT

Local PCs


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Local digital collections and objects interfacingLocal digital collections and objects interfacing

CENTRAL SYSTEMCENTRAL SYSTEM GLOBAL CONTENT SPACE NODEGLOBAL CONTENT SPACE NODE

DMZDMZ

DMZDMZ

FTP SERVERFTP SERVER

SERVLET CONTAINERSERVLET CONTAINER

SERVLET CONTAINERHTTP SERVER

SERVLET CONTAINERHTTP SERVER

LAN

INTERNET

MINIMAL FTP CLIENT(DESKTOP APP)

MINIMAL FTP CLIENT(DESKTOP APP)

HOST (SERVER)HOST (SERVER)

FTP SERVERFTP SERVER

METADATA EDITORMETADATA EDITOR

2a2a2b2b

11

33

44

55

66““One-shot” procedure

One-shot” procedure

from content provider’s desktop

from content provider’s desktop

to AquaRing portal

to AquaRing portal


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Local digital collections and objects interfacingLocal digital collections and objects interfacing

FTP + HTTPFTP + HTTPSERVERSERVER



AQR FTPCLIENTAQR FTPCLIENT AQR FTPCLIENTAQR FTPCLIENT

http://adg.contents.aquaringweb.euhttp://naus.contents.aquaringweb.euhttp://lsm.contents.aquaringweb.eu http://rzoo.contents.aquaringweb.eu http://rbins.contents.aquaringweb.euhttp://new.contents.aquaringweb.eu

AQR FTPCLIENTAQR FTPCLIENTAQR FTPCLIENTAQR FTPCLIENT AQR FTPCLIENTAQR FTPCLIENT AQR FTPCLIENTAQR FTPCLIENT

??????

ftp://81.208.74.210 http://81.208.74.210

ftp://81.93.5.231 http://www.nausicaa.fr/aquaring

3 physical nodes 3 physical nodes < BACK


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Metadata annotation & collectionsMetadata annotation & collections

Metadata annotation = time consuming taskMetadata annotation = time consuming tasko Review reportReview report

• ““Think about alternative methods and technologies to address the time consuming Think about alternative methods and technologies to address the time consuming multilingual metadata annotation”multilingual metadata annotation”

• ““The metadata annotation requires a lot of labour-intensive effort and specialized The metadata annotation requires a lot of labour-intensive effort and specialized expertise: this might become a risk for the sustainability of the project”expertise: this might become a risk for the sustainability of the project”

““HierarchicalHierarchical collectionscollections””o Dublin Core: “A collection is an aggregation of items. The term collection Dublin Core: “A collection is an aggregation of items. The term collection

means that the resource is described as a group; its parts may be separately means that the resource is described as a group; its parts may be separately described and navigated.”described and navigated.”

Many contents with similar “meaning” aggregated in a Many contents with similar “meaning” aggregated in a collectioncollection (folder or even folder tree) (folder or even folder tree)o Iterative automatic creation of metadata for inner contentIterative automatic creation of metadata for inner content

Specific annotation can be specified at any levelSpecific annotation can be specified at any levelo Necessary requirement for annotation quality!!!Necessary requirement for annotation quality!!!


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CollectionsCollections

COLLECTION = FOLDER (or folder tree!)COLLECTION = FOLDER (or folder tree!)

COLLECTION METADATA

COLLECTION METADATA

CONTENT METADATACONTENT METADATA

General description, valid for all General description, valid for all contents included in the contents included in the collection (e.g. photo campaign collection (e.g. photo campaign on the same on the same area/species/individual etc.)area/species/individual etc.)

Specific description, valid for a Specific description, valid for a specific content (e.g. peculiarity, specific content (e.g. peculiarity, location etc.)location etc.)

++

==

Semantic description Semantic description (inheritance)(inheritance)

Faster annotation on large

Faster annotation on large

collections, detailed description

collections, detailed description

on specific contents!!!

on specific contents!!!


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Collections & content managementsCollections & content managements

AUTOMATIC METADATA CREATIONAUTOMATIC METADATA CREATIONON CONTENT/FILE FTP TRANSFERON CONTENT/FILE FTP TRANSFER

Once created, metadata can be refined (E.g. subject)Once created, metadata can be refined (E.g. subject)

All available information on files (name, size, format etc.) can be All available information on files (name, size, format etc.) can be automatically detected and used for the annotationautomatically detected and used for the annotation

LOCAL PC FTP SERVER

AquaRing FTP clientAquaRing FTP client - simple Java standalone desktop - simple Java standalone desktop applicationapplication - file/folder selection from local pc- file/folder selection from local pc - one shot ftp transfer- one shot ftp transfer - add/remove file/folder on ftp server- add/remove file/folder on ftp server

Fully integrated & synchronized with Fully integrated & synchronized with Metadata Editor functionalitiesMetadata Editor functionalities- trigger system for metadata - trigger system for metadata creation/deletioncreation/deletion

Scientific social tagging - background knowledge come to surface (AquaRing Project)

Technology

dc social tagging workshop

o contents

scientific contents

content management

semantic annotation

background knowledge

filledthe content