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miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
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miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution

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  • 1. Guillermo Álvaro Rey, Carmen Córdoba, Víctor Penela, Michelangelo Castagnone, Francesco Carbone, José Manuel Gómez-Pérez, Jesús Contreras Valencia, 26 October 2010 (KMIS 2010) miKrow: An Intra-Enterprise Semantic Microblogging Tool as a Micro-Knowledge Management Solution
  • 2. Microblogging?
  • 3. Not this http://www.flickr.com/photos/bloggingdagger/
  • 4. “There is a revolution coming for knowledge workers” Tim O’Reilly referring to Twitter (2009)
  • 5. But …
  • 6. … we already have an almighty KM System
  • 7. K.I.S.S. Keep It Simple, Stupid Son
  • 8. K.I.S.S. Users care about results not about complexity
  • 9. K.I.S.S. Users want to find not to search
  • 10. K.I.S.S. the user to the system the system to the user Adapt:
  • 11. How does it work? http://www.flickr.com/photos/17258892@N05
  • 12. Message Indexing
  • 13. Expert Indexing
  • 14. Message Search
  • 15. Expert Search
  • 16. Linked Data Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/
  • 17. Context Context data
  • 18. Implementation:
  • 19. miKrow architecture
  • 20. miKrow architecture, extended
  • 21. Demo
  • 22. Evaluation In-house testing
  • 23. Evaluation 1: Cold start problem  Feed the system with previous existing knowledge
  • 24. Evaluation 2: Semantic suggestions were better perceived  Highlight them
  • 25. Evaluation 3: Some stop words were not identified  Dynamically detect new expressions like “working on…”, “doing…”
  • 26. Video miKrow success story… http://www.youtube.com/watch?v=pXdGE4Gxu0A
  • 27. Guillermo Álvaro, Carmen Córdoba, Víctor Penela, Michelangelo Castagnone, Francesco Carbone, José Manuel Gómez-Pérez, Jesús Contreras mikrow@isoco.com http://mikrow.isoco.net/about Thanks!

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