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PoolParty Overview
 

PoolParty Overview

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    PoolParty Overview PoolParty Overview Presentation Transcript

    • PoolParty Thesaurus Management Semantic 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 components Core functionalities PPT : manage metadata & make use of linked data PPX : extract meaning & „ normalize“ metadata PPS : find information in a structured way
    • PoolParty architecture An overview publish enrich Integrated view & search index mapping
    • PoolParty Thesaurus Management (PPT)
      • 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
      In a nutshell
    • What is SKOS? SKOS Thesaurus Management
      • W3C Standard since 2009
      • Based on Semantic Web standards
      • Open for linking with additional linked data
    • Text Mining with PPX Add meaning to your documents http://poolparty.biz/demozone/
    • Metadata mapping with PPX Integrate 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?
      • Who is sponsored by Red Bull?
      • Who was born at which place?
      • Which places are located in Carinthia?
    • Which skiers are sponsored by Red Bull and were born in Carinthia? Which places are located 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_Morgenstern http://vocabulary.semantic-web.at/AustrianSkiTeam/121
    • The same object but many names, different views, various roles and tasks Marketing Production Smarty-1 is our top-seller! S-Jell 23X_34´s OS is a disaster… What makes a product successful? BI
    • Use Cases Autocomplete functions Tag Recommendations Similar Documents Recommender Facetted Browsing Corporate thesauri Multilingual 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 Customers Linked Data Publishing Linked Data Enrichments
    • Contact
      • Florian Kondert Customer Care [email_address]
      Semantic Web Company GmbH Mariahilfer Strasse 70/8 1070 Vienna Austria http://www.semantic-web.at/ http://poolparty.biz http://bit.ly/semantic_search http://lod2.eu/ http://twitter.com/PoolParty_Team Andreas Blumauer CEO [email_address]