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).

1. @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

2. About Semantic Web Company
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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:

3. 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

4. About PoolParty Semantic Suite

5. 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

6. Open Data for Sustainable Development
OD4SD & what is important…
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7. SKOSsy – Generate Thesauri on the fly!
http://skossy.semantic-web.at
LD Harvester in
PoolParty
SKOSsy Introduction Video
http://bit.ly/SKOSsy
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8. Enriching Thesauri using Dbpedia
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9. reegle.info Thesaurus in 5 languages
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10. Use Case 2
Linked (Open) Data Integration
• Linked Open Data (LOD) Integration: MashUps
• LOD Integration: Data Analysis
• DBpedia based Entity Linking Approach

11. reegle.info Country Profiles on RE & EE
http://reegle.info/countries
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12. 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/
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13. 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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14. How does it work…
Semantic
Search
Geospatial
Search
Data
Visualisation
SPARQL
PoolParty Semantic Integrator
….
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15. 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/

16. 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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17. 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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18. 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 !

19. 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