skos as a key element in enterprise linked data strategies

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This talk was given at the International Semantic Web Conference (ISWC 2014). We discuss how SKOS is a starting point for developing an enterprise linked data strategy. We show how taxonomies can be extended by ontologies and linked open data. Establishing a Linked Data Warehouse build the basis for unified views on various information sources.

TRANSCRIPT

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!

Let’s get in contact!

http://j.mp/ablvienna

Andreas Blumauer, MSc ITa.blumauer@semantic-web.at

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