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PoolParty 4
From Text Mining to Linked Data

Martin Kaltenböck
CFO, Semantic Web Company
www.semantic-web.at
www.poolparty.biz
@semwebcompany
@lod2project
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
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:
About PoolParty Semantic Suite
PoolParty knowledge modeling process
SKOSsy – Generate Thesauri on the fly

http://skossy.semantic-web.at

LD Harvester in
PoolParty

SKOSsy Introduction Video
http://bit.ly/SKOSsy
6
Semantic Information Management using PoolParty 4
User-friendliness
Very fast, browser-based, drag & drop, auto-complete, online help,…
Thesaurus Linking
Auto-suggest, drag & drop, various mapping properties, various views on mappings
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.
Integrated Quality Management

http://www.youtube.com/watch?v=x9s4hiStQ1Y
Integrated Linked Data Harvester

http://www.youtube.com/watch?v=BDzYW3_hxfQ
Integrated Text Corpus Analysis

http://www.youtube.com/watch?v=2E5V-mmH_1c
PoolParty PowerTagging
PowerTagging works with any version of PoolParty (Basic, Advanced,
Enterprise) and can be integrated with your CMS.

PoolParty PowerTagging

Your PoolParty Server
PowerTagging for SharePoint

http://www.semantic-sharepoint.com
PowerTagging for Confluence

http://faq.poolparty.biz/
Semantic Information Management using PoolParty 4
PoolParty Semantic Integrator
Semantic
Search

Mashups &
360O views

Data
Visualisation

PoolParty Semantic Integrator

Your Linked
Data App
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/
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.
How does it work?
Semantic
Search

Geospatial
Search

PoolParty Semantic Integrator

….

Data
Visualisation
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)
How does it work?
Semantic
Search

Geospatial
Search

PoolParty Semantic Integrator

Data
Visualisation
Application Scenarios
Semantic Information Management using PoolParty 4
Example: GBA-Thesaurus
Example: Enterprise Terminology

(SharePoint of Roche)

List of Synonyms
Number of Results

Search Phrase

Marked Synonyms
Semantic Information Management using PoolParty 4
Linked data based search
Identify ‘hidden’ links and relations between documents,
things or persons.
Complex queries become possible!
Example: FINDOK (BMF)
Example: Clean Energy Search

http://www.reegle.info
Semantic Information Management using PoolParty 4
Example: Matchmaking EIP on Water
Matchmaking based on the
Semantic Footprint
communication

collaboration

publishing, edititng, reading, commenting, sharing …

http://eip-water.eu/
Semantic Information Management using PoolParty 4
Example: Arbeitsrecht-Thesaurus

50 Billions
Facts

•
•
•
•

EuroVoc
Thesaurus
Sozial-Wissenschaften
DBPedia
Standard-Thesaurus
Wirtschaft

http://vocabulary.wolterskluwer.de/arbeitsrecht/10913
Example: Education Services Australia
Example: Energy Country Profiles

http://reegle.info/countries
38
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 !
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

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Semantic Information Management using PoolParty 4