SKOS as a Key Element in Enterprise Linked Data Strategies Andreas Blumauer , MSc IT CEO of Semantic Web Company Product owner of PoolParty Semantic Suite
Dec 01, 2014
SKOS as a Key Element in Enterprise Linked Data Strategies
Andreas Blumauer, MSc ITCEO of Semantic Web CompanyProduct owner of PoolParty Semantic Suite
Enterprise Linked Data:Unified Views on various data sources
for example, based on
Linked Data Warehouse
PoolParty Semantic Integrator:Unified Views on various data sources
based on
Taxonomies are the key element for linked data integration
based on
Example: Business intelligence dashboards
● Example: Disease Prevalence Analysis
● Linking and analysis over structured & unstructured information
● Making use of knowledge graphs and linked open data
Example: Business intelligence dashboards
● Extraction of entities from text○ diseases (MeSH)○ geographical entities
(Geonames)
● Linking to DBpedia (HDI)
● Live Demo: http://integrator.poolparty.biz/report_medicine/
Revisiting the good old ‘ontology spectrum’
Glossaries &Folksonomy
Taxonomy
Thesaurus
Ontology
SemanticExpressivity
Is it a step-by-step
approach?
Revisiting the good old ‘ontology spectrum’
Glossaries &Folksonomy
Taxonomy
Thesaurus
Ontology
SemanticExpressivity
Is it a step-by-step
approach?
What do we need for text
mining?
Revisiting the good old ‘ontology spectrum’
Glossaries &Folksonomy
Taxonomy
Thesaurus
Ontology
SemanticExpressivity
Is it a step-by-step
approach?
Can it be used as linked data?
What do we need for text
mining?
Key questions for developing anenterprise linked data strategy
Glossaries &Folksonomy
Taxonomy
Thesaurus
Ontology
SemanticExpressivity
Is it a step-by-step
approach?
Can it be used as linked data?
What do we need for text mining?
Which skills do we need?
How to find the optimum cost-benefit ratio?
Getting started:From CSV and Excel to Taxonomies
Text Corpus Analysis:From simple tags to TaxonomiesFree terms (candidate terms) are extracted from document collections
… and asserted into thecontrolled vocabulary.
From Taxonomies to Ontologies: Start with SKOS...
… and apply ontologies
Use Schema.org or other ontologies to extend your SKOS knowledge graph
http://schema.org/City
http://schema.org/TouristAttraction
http://schema.org/ArtGallery
http://www.mycom.com/taxonomy/62346723
Venice
prefLabel
prefLabel St. Mark’sSquare
http://schema.org/containedIn
http://schema.org/location
Peggy Guggenheim Museum
http://www.mycom.com/taxonomy/5456544
http://www.mycom.com/taxonomy/7835488
Enrich the enterprise knowledge graph with facts from the Semantic Web
http://schema.org/City
http://schema.org/TouristAttraction
http://schema.org/ArtGallery
http://www.mycom.com/taxonomy/62346723
Venice
prefLabel
prefLabel St. Mark’sSquare
http://schema.org/containedIn
http://schema.org/location
Peggy Guggenheim Museum
http://www.geonames.org/7302945
http://www.freebase.com/m/0q9rr
http://dbpedia.org/resource/ Peggy_Guggenheim_Collection
https://www.youtube.com/VeniceGuggenheim
http://www.mycom.com/taxonomy/5456544
http://www.mycom.com/taxonomy/7835488
Wolters Kluwer uses SKOS as a ‘semantic interface’ to link distributed content
EurovocWolters Kluwer’s
labor law thesaurus
STW Thesaurus
DBpedia
Use PoolParty PowerTagging to integrate with Enterprise Content Systems
Confluence
Drupal
SharePoint 2013
ConclusioLet your enterprise
knowledge graphs grow in parallel to your staff’s
linked data skills!