Using DBpedia for Thesaurus Management and Linked Open Data Integration
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Using DBpedia for Thesaurus Management and Linked Open Data Integration

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Using DBpedia for Thesaurus Creation and Management as well as Linked Open Data (LOD) Integration with PoolParty Semantic Suite (http://www.poolparty.biz) at Semantic Web Company (SWC, ...

Using DBpedia for Thesaurus Creation and Management as well as Linked Open Data (LOD) Integration with PoolParty Semantic Suite (http://www.poolparty.biz) at Semantic Web Company (SWC, http://www.semantic-web.at).

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    Using DBpedia for Thesaurus Management and Linked Open Data Integration Using DBpedia for Thesaurus Management and Linked Open Data Integration Presentation Transcript

    • @semwebcompany @lod2project Using DBpedia at Semantic Web Company Work on enterprise taxonomies and Linked Open Data (LOD) integration Martin Kaltenböck Semantic Web Company www.semantic-web.at www.poolparty.biz These slides are published under : http://creativecommons.org/licenses/by/3.0
    • About Semantic Web Company • • • • • • • Semantic Web Company founded 2000 in Vienna, Austria 20 experts in strategy, coding, consulting, research & PM Main Product: PoolParty Semantic Suite (launched 2009) Focus: Semantic Information Management & LOD Services Serving global 500 companies, GOV & NGOs worldwide EU- & US-based consulting services Intense involvement in / support of LOD community Partner Network:
    • Some Customers we server… • Pearson • Daimler • Wolters Kluwer • Ministry of Finance (AUT) • GBPN • Credit Suisse• Council of EU • Education Services (AUS) • World Bank • Roche • Wood Mackenzie • REEEP
    • About PoolParty Semantic Suite
    • Use Case 1 Dbpedia & Enterprise Taxonomies / Thesauri • Creation of Seed Thesauri (SKOSsy service) • Enriching & linking Thesauri (PoolParty LookUp Service) • Expand (autopopulate) Thesauri • Add definitions, altLabels, images, geo-information, … • Additional language information
    • Open Data for Sustainable Development OD4SD & what is important… 6
    • SKOSsy – Generate Thesauri on the fly! http://skossy.semantic-web.at LD Harvester in PoolParty SKOSsy Introduction Video http://bit.ly/SKOSsy 7
    • Enriching Thesauri using Dbpedia 8
    • reegle.info Thesaurus in 5 languages 9
    • Use Case 2 Linked (Open) Data Integration • Linked Open Data (LOD) Integration: MashUps • LOD Integration: Data Analysis • DBpedia based Entity Linking Approach
    • reegle.info Country Profiles on RE & EE http://reegle.info/countries 11
    • Application example #1: Energy Market Intelligence Scenario #1: I am an energy market researcher at the International Energy Agency (IEA). I inform policy makers about the situation in specific renewable energy areas to develop targeted energy support programs. For my research I need indicators about utilisation levels of all alternative forms of energy with regards to geographical and political categories. http://integrator.poolparty.biz/report_renewable/ 12
    • How does it work… • Articles about Renewable Energy – 72,018 documents – From ~300 web sources • reegle Thesaurus: ~3,000 concepts – Traverse hierarchies below main categories (wind, solar, etc.) and classify documents • Geonames – Annotate documents with regards to their geographical entities • DBpedia – Lookup several Yago classes to all extracted geographical entities to assert additional categories, e.g.: EU-countries, French-speaking countries etc. 13
    • How does it work… Semantic Search Geospatial Search Data Visualisation SPARQL PoolParty Semantic Integrator …. 14
    • Application example #2: Health Care Scenario #2: I am an information officer at the Global Health Observatory of the World Health Organisation. I inform policy makers about the global situation in specific disease areas to direct support to the required health support programs. For my research I need data about disease prevalence in relation to socio-economic factors. http://integrator.poolparty.biz/report_medicine/
    • How does it work… • PubMed Articles – Cardiovascular Diseases: 39,911 documents – Neoplasms: 69,937 documents – Nervous System Diseases: 48,128 documents • MeSH: 26,700 concepts / 346,600 triples – Traverse hierarchies below disease main categories and classify documents • Geonames – Annotate documents with regards to their geographical entities • DBpedia – Lookup HDI (The Human Development Index (HDI) is a composite statistic of life expectancy, education, and income indices used to rank countries into four tiers of human development) 16
    • Enity Linking using Dbpedia… Solving the issue of disambiguation and thereby enable better textmining & categorisation (semantic tagging). • Interestingly, Democrats in Congress and Clinton approved of similar interim funding measures during the last government shutdown. • Clinton was traded by the Boston Red Sox to the Los Angeles Angels for Lee Thomas. • Clinton is a Power Station located near Clinton, Illinois, USA. 17
    • Further Reading & Announcements The publication Linked Open Data: The Essentials gives decision makers a good overview of Open Government, Open Government Data, Open Data and Linked Open Data (LOD). See: http://www.semantic-web.at/LOD-TheEssentials.pdf European Data Forum 2014 (EDF2014) • 19 – 20 March 2014, Greece Athens • Call for Exhibition still open! • See: http://2014.data-forum.eu 21.03.2014, Athens SEMANTICS Conference 4. & 5. September 2014 in Leipzig, Germany September 2015 in Vienna, Austria www.semantics.cc coming soon !
    • Contact Martin Kaltenböck CFO, Semantic Web Company +43 1 4021235 m.kaltenboeck@semantic-web.at www.semantic-web.at www.poolparty.biz These slides are published under : http://creativecommons.org/licenses/by/3.0