using dbpedia for thesaurus management and linked open data integration
DESCRIPTION
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).TRANSCRIPT
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Using DBpedia at Semantic Web Company
Work on enterprise taxonomies and Linked Open Data (LOD) integration
Martin KaltenböckSemantic Web Company
www.semantic-web.atwww.poolparty.biz
@semwebcompany@lod2project
These slides are published under : http://creativecommons.org/licenses/by/3.0
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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:
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Some Customers we server…
• Pearson• GBPN• World Bank
• Daimler• Credit Suisse• Roche
• Wolters Kluwer• Council of EU• Wood Mackenzie
• Ministry of Finance (AUT)• Education Services (AUS)• REEEP
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About PoolParty Semantic Suite
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Use Case 1Dbpedia & 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
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Open Data for Sustainable Development OD4SD & what is important…
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SKOSsy – Generate Thesauri on the fly!
http://skossy.semantic-web.at
SKOSsy Introduction Videohttp://bit.ly/SKOSsy
LD Harvester in PoolParty
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Enriching Thesauri using Dbpedia
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reegle.info Thesaurus in 5 languages
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Use Case 2Linked (Open) Data Integration
• Linked Open Data (LOD) Integration: MashUps• LOD Integration: Data Analysis• DBpedia based Entity Linking Approach
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reegle.info Country Profiles on RE & EE
http://reegle.info/countries
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Application example #1: Energy Market Intelligence
http://integrator.poolparty.biz/report_renewable/
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.
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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.
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How does it work…
Semantic Search
PoolParty Semantic Integrator
Geospatial Search
Data Visualisation
SPARQL
….
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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/
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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)
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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.
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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 Conference4. & 5. September 2014 in Leipzig, GermanySeptember 2015 in Vienna, Austriawww.semantics.cc coming soon !
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Contact
These slides are published under : http://creativecommons.org/licenses/by/3.0
Martin KaltenböckCFO, Semantic Web Company
+43 1 [email protected]
www.semantic-web.atwww.poolparty.biz