PoolParty Suite @ LOTICO Meetup

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Meetup presentation @ LOTICO meetup in San Francisco, August 8 2012

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PoolParty Suite @ LOTICO Meetup

  1. 1. 5 stars information management Florian Kondert f.kondert@semantic-web.at www.poolparty.biz
  2. 2. About founded 2001 in Vienna / Austria 20 experts in strategy, coding, consulting, research Product: PoolParty Suite (launched 2009) Serving global 500 companies
  3. 3. The challenge is...Different views on things
  4. 4. Solution: Knowledge models Machines help to identify meaning
  5. 5. How: PoolParty Suite
  6. 6. Knowledge modeling process
  7. 7. PoolParty Architecture
  8. 8. Industries
  9. 9. Customers - extract World Bank  Pearson Roche Diagnostics  REEEP Credit Suisse  British Museum Wolters Kluwer  Education Services Australia Biogen Idec
  10. 10. Media Use Case – Media & Publishing Using domain specific knowledge models to provide metadata and content recommendations automatically Telecommunication Better understanding of customer requests www.reegle.info launched 2006 by providing thesauri with synonyms and Sources on renewable energy, using PoolParty for semantic relations.  refine search results  Automated glossary  Content integration from over 1.700 sourcesogy S (World Bank,biggest Linked Wikipedia, OpenEI…) tack of nowadays UN Data, Dataout of Interlinked Data.  SPARQL 1.1 endpoints for re-use of data
  11. 11. Media Use Case – Media & Publishing Using domain specific knowledge models to provide metadata and content recommendations automatically Telecommunication Better understanding of customer requests by providing thesauri with synonyms and semantic relations.ogy S tack of nowadays biggest Linked Dataout of Interlinked Data.
  12. 12. PoolParty helps improving:
  13. 13. Information depth http://reegle.info/countries  Automatic life-data integration  Heterogeneous sources on one point  Re-use existing data
  14. 14. Metadata for DMS  Metadata recommendation  Select clusters or single entities  Automatically or manually  Example: Sharepoint
  15. 15. Knowledge enrichment http://blog.reegle.info  Map content with knowledge models  Enrich terms with valuable context  Automatically generated glossaries
  16. 16. Tagging in CMS  Categorized automatic tagging  Recommendation of relevant context  Find content by using synonyms and abbreviations  Example: Atlassian Confluence
  17. 17. Knowledge modeling  Collaborative editing of knowledge models  Accessibility based on user roles  Optional approval process  Example: PoolParty Browser
  18. 18. Search results http://bit.ly/l8o4IF  Categorized Autocomplete  Dynamic refinement by facets  Query expansion
  19. 19. Example: Creating Knowledge model Hands on demo:  Automatically created knowledge model  Finished in 3 minutes  Ready to  Publish on a browser  Enrich collaboratively  Integrate in CMS system Watch the video here
  20. 20. Benefits Sophisticated knowledge models for sophisticated information management Transfer data to knowledge Release information out of black boxes Consume / publish information for re-use Support users with relevant context
  21. 21. Contact Florian Kondert COO, Business Development (408) 421 7428 f.kondert@semantic-web.at http://PoolParty.bizPartner network
  22. 22. Appendix
  23. 23. Business ModelServer installation CloudPoolParty Thesaurus Manager PoolParty Thesaurus Manager20.000 USD / instance 2.300 USD / one-off setup 7.200 USD / per yearPoolParty Extractor17.500 USD / instance PoolParty Extractor 1.900 USD / one-off setupPoolParty Search 5.000 USD / per year10.000 USD / instance(max. 150k documents) PoolParty Search not available25.000 USD / instance(unlimited documents) (Pricing per year)Optional maintenance:30% of server license /year
  24. 24. Learn morePoolParty videos PoolParty Suite Overview PoolParty Thesaurus Manager 3.1 Creating seed vocabularies with SKOSsyDemozone Knowledge discoverer PoolParty Search

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