Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...

1. PoolParty 4
From Text Mining to Linked Data
Martin Kaltenböck
CFO, Semantic Web Company
www.semantic-web.at
www.poolparty.biz
@semwebcompany
@lod2project

2. About Semantic Web Company
Company was founded 2001 in Vienna, Austria
>20 experts in linked data technologies
Product: PoolParty Suite (launched 2009)
Serving global 500 companies
EU- & US-based consulting services

3. Customers we serve
• Pearson
• Daimler
• Wolters Kluwer
• European Commission
• TechTarget • Credit Suisse • Wood Mackenzie • Ministry of Finance AT
• World Bank • Roche
• Council of EU
• Education Services AUS
Partner Network:

4. About PoolParty Semantic Suite

5. PoolParty knowledge modeling process

6. SKOSsy – Generate Thesauri on the fly
http://skossy.semantic-web.at
LD Harvester in
PoolParty
SKOSsy Introduction Video
http://bit.ly/SKOSsy
6

8. User-friendliness
Very fast, browser-based, drag & drop, auto-complete, online help,…

9. Thesaurus Linking
Auto-suggest, drag & drop, various mapping properties, various views on mappings

10. Import / Export
Import of Excel, CSV, XML, SKOS/RDF; import and analysis of various text formats, export
of various RDF serializations, customised exports for Oracle, SharePoint, etc.

11. Integrated Quality Management
http://www.youtube.com/watch?v=x9s4hiStQ1Y

12. Integrated Linked Data Harvester
http://www.youtube.com/watch?v=BDzYW3_hxfQ

13. Integrated Text Corpus Analysis
http://www.youtube.com/watch?v=2E5V-mmH_1c

14. PoolParty PowerTagging
PowerTagging works with any version of PoolParty (Basic, Advanced,
Enterprise) and can be integrated with your CMS.
PoolParty PowerTagging
Your PoolParty Server

15. PowerTagging for SharePoint
http://www.semantic-sharepoint.com

16. PowerTagging for Confluence
http://faq.poolparty.biz/

18. PoolParty Semantic Integrator
Semantic
Search
Mashups &
360O views
Data
Visualisation
PoolParty Semantic Integrator
Your Linked
Data App

19. 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/

20. 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.

21. How does it work?
Semantic
Search
Geospatial
Search
PoolParty Semantic Integrator
….
Data
Visualisation

22. 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/

23. 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)

24. How does it work?
Semantic
Search
Geospatial
Search
PoolParty Semantic Integrator
Data
Visualisation

25. Application Scenarios

27. Example: GBA-Thesaurus

28. Example: Enterprise Terminology
(SharePoint of Roche)
List of Synonyms
Number of Results
Search Phrase
Marked Synonyms

30. Linked data based search
Identify ‘hidden’ links and relations between documents,
things or persons.
Complex queries become possible!

31. Example: FINDOK (BMF)

32. Example: Clean Energy Search
http://www.reegle.info

34. Example: Matchmaking EIP on Water
Matchmaking based on the
Semantic Footprint
communication
collaboration
publishing, edititng, reading, commenting, sharing …
http://eip-water.eu/

36. Example: Arbeitsrecht-Thesaurus
50 Billions
Facts
•
•
•
•
EuroVoc
Thesaurus
Sozial-Wissenschaften
DBPedia
Standard-Thesaurus
Wirtschaft
http://vocabulary.wolterskluwer.de/arbeitsrecht/10913

37. Example: Education Services Australia

38. Example: Energy Country Profiles
http://reegle.info/countries
38

39. European Data Forum 2014 (EDF2014)
19 – 20 March 2014, Greece Athens
Call for Exhibition still open!
See: http://2014.data-forum.eu
SEMANTICS Conference
4. & 5. September 2014 in Leipzig, Germany
September 2015 in Vienna, Austria
www.semantics.cc coming soon !

40. 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 :
Copyright SWC 2014