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Simple Knowledge Organisation System (SKOS) as the core of Enterprise Knowledge Graphs

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Enterprises use knowledge graphs for a more agile information management. Taxonomies build an essential part of knowledge graphs. When based on Semantic Web standards, parts of graphs can be reused more efficiently. SKOS as a standard for taxonomies plays a crucial role in this information architecture.

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Simple Knowledge Organisation System (SKOS) as the core of Enterprise Knowledge Graphs

  1. 1. Andreas Blumauer CEO & Managing Partner Semantic Web Company & PoolParty Semantic Suite TAXONOMY BOOT CAMP LONDON 2016 SKOS as the core of Enterprise Knowledge Graphs 1
  2. 2. INTRODUCTION 2 Semantic Web Company founder & CEO of Andreas Blumauer developer and vendor of 2004 founded 5.5 current Version active at based on Vienna located part of Taxonomies Knowledge Graphs managed with standard for part of is a >200serves customers
  3. 3. Taxonomies, Ontologies, Knowledge Graphs How do they fit together? 3
  4. 4. Benefiting from Knowledge Graphs ▸ Knowedge Discovery & Visualisation (‘follow your nose’) ▸ Analytics and complex queries (beyond search for ‘Pizza’) ▸ 360O views on business objects (systemic views) ▸4
  5. 5. Description (rather than a definition) of a Knowledge Graph ▸ Knowledge graphs provide holistic knowledge (multi-domain, source, granularity), including ▹ instance data (ground truth), either open, private, or closed ▹ schema data (vocabularies, ontologies) ▹ metadata (e.g. provenance, versioning, licensing) ▹ comprehensive taxonomies to categorize entities ▹ links between internal and external data ▹ mappings to data and documents stored in other systems and databases Source: Prof. Sören Auer, Fraunhofer IAIS 5
  6. 6. Instance data prefLabel Venice prefLabel St. Mark’s Square altLabel Piazza San Marco Peggy Guggenheim Museum
  7. 7. Schema data prefLabel Venice prefLabel St. Mark’s Square altLabel Piazza San Marco Peggy Guggenheim Museum http://schema.org/City http://schema.org/TouristAttraction http://schema.org/ArtGallery Monday through Sunday, all day opening Hours image
  8. 8. CC BY-SA 3.0 Metadata prefLabel Venice prefLabel St. Mark’s Square altLabel Piazza San Marco Peggy Guggenheim Museum http://schema.org/City http://schema.org/TouristAttraction http://schema.org/ArtGallery Monday through Sunday, all day opening Hours
  9. 9. CC BY-SA 3.0 Taxonomies and Thesauri prefLabel Venice prefLabel St. Mark’s Square altLabel Piazza San Marco Peggy Guggenheim Museum http://schema.org/City http://schema.org/TouristAttraction http://schema.org/ArtGallery Monday through Sunday, all day prefLabel Piazza altLabel Town Square broader related related opening Hours
  10. 10. CC BY-SA 3.0 Links between internal and external data prefLabel Venice prefLabel St. Mark’s Square altLabel Piazza San Marco Peggy Guggenheim Museum http://schema.org/City http://schema.org/TouristAttraction http://schema.org/ArtGallery Monday through Sunday, all day prefLabel Piazza altLabel Town Square broader related related same as opening Hours
  11. 11. The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice, Italy. same as CC BY-SA 3.0 Mappings to data and documents stored in other systems prefLabel Venice prefLabel St. Mark’s Square altLabel Piazza San Marco Peggy Guggenheim Museum http://schema.org/City http://schema.org/TouristAttraction http://schema.org/ArtGallery Monday through Sunday, all day prefLabel Piazza altLabel Town Square broader related related opening Hours
  12. 12. Generic Use Cases Benefiting from Knowledge Graphs 12
  13. 13. Knowledge Discovery Charles Crupelandt won stages at depicted Jean Metzinger painted by Niels Bohr inspired exhibited at Peggy Guggenheim Museum Demo
  14. 14. Analytics and complex queries Demo
  15. 15. 360O views on business objects More info
  16. 16. Essential Features Develop and sustain Knowledge Graphs in Enterprises 16
  17. 17. From Simple to Complex 17 Taxonomy Ontology Ontology 1 from library Ontology 2 (imported) Ontology 3 (custom-made) Custom Schema
  18. 18. Integrated Machine Learning 18 Content Manager Integrator Taxonomist/ Ontologist Thesaurus Server Extractor PowerTagging uses API is user of is user of is basis of is basis of Index annotates enriches Corpus Learning/ Semantic Analysis CMS extends is basis of analyzes uses API
  19. 19. Data Quality 19
  20. 20. Determining the Knowledge Graph ‘Completeness’ for a given Domain 20
  21. 21. GET YOUR TEST ACCOUNT GET CERTIFIED 21 Get your test account at www.poolparty.biz/demo Get certified at www.poolparty.biz/academy/
  22. 22. CONNECT Andreas Blumauer CEO, Semantic Web Company ▸ a.blumauer@semantic-web.at ▸ http://at.linkedin.com/in/andreasblumauer ▸ https://twitter.com/semwebcompany ▸ https://ablvienna.wordpress.com/ 22 © Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/

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