poolparty overview
DESCRIPTION
TRANSCRIPT
PoolParty
Thesaurus ManagementSemantic Search
Linked Data
Andreas Blumauer
Agenda
• Company Profile
• PoolParty: Our mission
• PoolParty components – an overview
• Thesaurus Management
Semantic Web Company
• Founded as „punkt. netServices“ 1998 in Vienna
• Focus: Semantic (web) technologies & search applications
– 1st project based on semantic technologies in 2001
– Foundation of Semantic Web School in 2004 Semantic Web Company since 2008
– PoolParty development started in 2007
• PoolParty on the market since 2009
• Privately held, currently 18 specialists
Innovation & experience
PoolParty – our mission
• „make things as simple as possible, but not simpler“ – A. Einstein
• All technologies based on W3C´s Semantic Web standards
• Available as installed software or as cloud service
• Main application areas
– Taxonomy and thesaurus management
– Semantic search
– Linked data and data integration
Metadata Management made easy
PoolParty componentsCore functionalities
PPT:managemetadata &make use oflinked data
PPX: extract meaning &„normalize“ metadata
PPS: find information ina structured way
PoolParty architectureAn overview
publish
enrich
Integrated view & search index
mapping
PoolParty Thesaurus Management (PPT)In a nutshell
• Usability: PoolParty provides an easy-to-use, web-based AJAX user interface
• W3C Semantic Web standards: Management & maintenance of multi-lingual (corporate) thesauri & taxonomies on top of Semantic Web standards (SKOS, RDF, OWL & SPARQL)
• Enterprise ready: PoolParty Server is based on scalable RDF Triple Stores (SAIL), incl. reasoner, (Solr) index engine and a phrase-extraction component
• System integration: PoolParty Server offers a Java-API & several interfaces: HTTP/REST, SOAP, SPARQL endpoint, Linked Data
What is SKOS?SKOS Thesaurus Management
• W3C Standard since 2009
• Based on SemanticWeb standards
• Open for linking withadditional linked data
• W3C Standard since 2009
• Based on SemanticWeb standards
• Open for linking withadditional linked data
Text Mining with PPXAdd meaning to your documents
http://poolparty.biz/demozone/
Metadata mapping with PPXIntegrate your data sources
<person> Thomas Miller</person>
Source 1
<employee> Tom Miller</employee>
Source 2
PoolParty Search (PPS)Basic functionality
• Faceted Auto-Complete• Faceted Search• Thesaurus-based Search• Similarity Search• Query Expansion• Multi-lingual Search• Search Basket
http://poolparty.biz/demozone/
Example: reegle.info
http://www.reegle.info http://data.reegle.info
Connecting the dots in a world of distributed systems• All the information to answer even
complex questions is usually available
• But: the information is scattered across different sources and not connected yet
• Thus users/employees usually need a lot of time to connect the dots if it comes to rather complex tasks
• We think that linked data is a proper approach to solve this common problem in a world of distributed systems
Which Austrian skiers are sponsored by Red Bull and were born in Carinthia?
1. Who is sponsored by Red Bull?
2. Who was born at whichplace?
3. Which places arelocated in Carinthia?
Which skiers are sponsored by Red Bull and were born in Carinthia?
Which places arelocated in Carinthia?
Who is sponsored
by Red Bull?
Who was born at which place?
Which skiers are sponsored by Red Bull and were born in Carinthia?
Thomas Morgenstern
http://dbpedia.org/resource/Thomas_Morgensternhttp://vocabulary.semantic-web.at/AustrianSkiTeam/121
Marketing Production
Smarty-1 is our top-seller!
Smarty-1 is our top-seller!
S-Jell 23X_34´s OS is a
disaster…
S-Jell 23X_34´s OS is a
disaster…
The same object but many names, different views, various roles and tasks
What makes a product
successful?
What makes a product
successful?
BI
Autocomplete functions
Tag Recommendations
Similar Documents RecommenderFacetted Browsing
Corporate thesauriMultilingual Search
Credit Suisse, British Museum, Roche, Telekom Austria, Wolters Kluwer, Education Services Australia, REEEP, Staatliche Museen zu Berlin, University of Vienna, Geological Survey of Austria, Biogen Idec, University of Glasgow, Centre for Ecology & Hydrology
Semantic Search Engines
Use Cases
Customers
Linked Data Publishing
Linked Data Enrichments
Contact
Florian KondertCustomer [email protected]
Semantic Web Company GmbHMariahilfer Strasse 70/81070 ViennaAustria
http://www.semantic-web.at/ http://poolparty.biz
http://bit.ly/semantic_searchhttp://lod2.eu/
http://twitter.com/PoolParty_Team
Andreas [email protected]