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miKrow presentation at ESWC2011

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Slides for the presentation of "miKrow: Semantic Intra-Enterprise Micro-Knowledge Management System", paper accepted at the In-Use track at ESWC 2011

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miKrow presentation at ESWC2011

  1. 1. Víctor Penela Guillermo Álvaro Rey Carlos Ruiz Carmen Córdoba Francesco Carbone Michelangelo Castagnone José Manuel Gómez-Pérez Jesús Contreras miKrow: Semantic Intra-Enterprise Micro-Knowledge Management System June 1st, 2011 | Heraklion, Greece 8th Extended Semantic Web Conference (ESWC 2011)
  2. 2. Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>
  3. 3. miKrow: Micro-Knowledge Management In a nutshell… Semantic Intra-Enterprise Micro-Knowledge Management System
  4. 4. Collaboration Interoperability and Access to Information Semantic Web Web 3.0 Enterprise 3.0 Web 1.0 - - + + Enterprise 3.0: Collaborative aspects of Web 2.0 + Semantic Technologies applied to the enterprise Web 2.0 Enterprise 2.0
  5. 5. Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>
  6. 6. The miKrow approach We take something existing Microblogging Engine + Semantic Engine We add value here
  7. 7. Microblogging engine: Jaiku Runs on Google App Engine
  8. 8. Semantic engine Via REST API Supported by domain ontologies Using a semantic index
  9. 9. Semantic Indexing and Search Performed for every micropost messages + experts
  10. 10. Message Indexing
  11. 11. Expert Indexing
  12. 12. Message Search <ul><li>Morphological variations and ortographic corrections </li></ul><ul><li>Mapping to ontology terms + thesauri </li></ul><ul><li>Close terms in the ontology </li></ul><ul><li>Expanded query with original terms and (weighted) related terms </li></ul>Query built from user input by:
  13. 13. Expert Search
  14. 14. In Use… Before posting
  15. 15. In Use… Related messages New suggestions stream Related experts Terms found
  16. 16. Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>
  17. 17. Enriching the basic prototype <ul><li>Linked Data consumption </li></ul><ul><li>ACTIVated miKrow </li></ul><ul><li>Contextual miKrow </li></ul><ul><li>User Collaboration and Feedback </li></ul>
  18. 18. Linked Data consumption Linking Open Data cloud diagram by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/ Entity recognition It helps keeping knowledge base up to date…
  19. 19. Using a external service Consuming Linked Data
  20. 20. In Use… Linked Data Entity Recognition
  21. 21. ACTIVated miKrow It helps tackling the cold-start problem… <ul><li>Working Context </li></ul><ul><li>Resource </li></ul><ul><li>Knowledge Process </li></ul>
  22. 22. ACTIVating miKrow Using a external service
  23. 23. In Use… Related working contexts, processes and resources…
  24. 24. In Use… … connected to the ACTIVE system
  25. 25. Contextual miKrow Context data (e.g., location) Improving the index with contextual information
  26. 26. miKrow in context Using a external service
  27. 27. In Use… Location used as contextual information
  28. 28. User (I): Collaboration Spheres Future Work! Finding the ad-hoc relationships within the system (Result from )
  29. 29. (Result from ) User (II): Feedback Future Work! Leveraging User Feedback to improve the suggestions Ratings in a semantic format through API with LUF
  30. 30. Agenda <ul><li>The miKrow concept </li></ul><ul><li>The miKrow approach </li></ul><ul><ul><li>Semantic Indexing </li></ul></ul><ul><ul><li>Semantic Search </li></ul></ul><ul><li>miKrow enrichments </li></ul><ul><ul><li>Linked Data consumption </li></ul></ul><ul><ul><li>ACTIVated miKrow </li></ul></ul><ul><ul><li>Contextual miKrow </li></ul></ul><ul><ul><li>User collaboration and feedback </li></ul></ul><ul><li>Evaluation / Summary </li></ul>
  31. 31. Evaluation <ul><li>In-house (iSOCO, SME ~100 people, 4 locations) </li></ul><ul><li>ACTIVated version (dummy ontology and examples) </li></ul><ul><li>Microblogging has its own rules and syntax (no straight reuse of a knowledge model) </li></ul><ul><li>Microposts may have temporal relevance </li></ul><ul><li>User feedback to be considered </li></ul><ul><li>Explanations are important (show intelligence ) </li></ul>
  32. 32. Summary <ul><li>miKrow = microblogging + KM </li></ul><ul><li>Intra-Enterprise (domain ontology) </li></ul><ul><li>Semantic index, ontology + thesauri queries </li></ul><ul><li>Simple approach + Extensions </li></ul><ul><li>Two prototypes </li></ul><ul><li>Future work: User Collaboration and Feedback </li></ul>Easy to use Semantically powered
  33. 33. http://mikrow.isoco.net/about [email_address] Thanks! Víctor Penela Guillermo Álvaro Rey Carlos Ruiz Carmen Córdoba Francesco Carbone Michelangelo Castagnone José Manuel Gómez-Pérez Jesús Contreras

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