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Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
Knowledge management on the desktop
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Knowledge management on the desktop

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Survey of Semantic Desktops, short paper presented at EKAW2012.

Survey of Semantic Desktops, short paper presented at EKAW2012.

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  • Hello, My name is Laura and I'm here to tell you about linking semantic desktop data to the web of data I'll start by describing a bit the reasons behind it, and a bit of background
  • Transcript

    • 1. Digital Enterprise Research Institute deri.ie Knowledge management on the desktop Laura Drǎgan, Stefan Decker© Copyright 2009 Digital Enterprise Research Institute. All rights reserved.
    • 2. [Old] Challenges & MotivationsDigital Enterprise Research Institute www.deri.ie  Information overload Nelson (70s)  Data silos / application formats  Trusted information Nelson (70s)  Associative trails Bush (40s) – Engelbart (60s) 2
    • 3. memexDigital Enterprise Research Institute www.deri.ie  Vannevar Bush - “As we may think” - 1945! “... a device in which an individual stores all his books, records and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility” 3
    • 4. NLS and XanaduDigital Enterprise Research Institute www.deri.ie  Doug Engelbart & Ted Nelson  1960s and 1970s “better concept structures can be developed – structures that when mapped into a human’s mental structure will significantly improve his capability to comprehend and to find solutions within his complex problem situations.” 4
    • 5. Modern Semantic DesktopsDigital Enterprise Research Institute www.deri.ie 5
    • 6. Modern Semantic DesktopsDigital Enterprise Research Institute www.deri.ie 6
    • 7. Differences and SimilaritiesDigital Enterprise Research Institute www.deri.ie  Architecture  Data representation  Evaluation 7
    • 8. ArchitectureDigital Enterprise Research Institute www.deri.ie  Layered – modular – service oriented  Layers (fuzzy)  Data layer  Service layer  Presentation / Application layer 8
    • 9. Data layerDigital Enterprise Research Institute www.deri.ie  Data-centric  Functions  Unlock desktop data from application repositories  Transform data from application specific formats 9
    • 10. Data representationDigital Enterprise Research Institute www.deri.ie All systems define a data model comprehensive small/generic modular monolithic 10
    • 11. ServicesDigital Enterprise Research Institute www.deri.ie  Storage  Extraction  Integration  Annotation  Query  Inference  ... 11
    • 12. ServicesDigital Enterprise Research Institute www.deri.ie  Storage  Extraction  Integration  Annotation  Query  Inference  ... 12
    • 13. ServicesDigital Enterprise Research Institute www.deri.ie  Storage  Extraction  Integration  Annotation  Query  Inference  ... 13
    • 14. ServicesDigital Enterprise Research Institute www.deri.ie  Storage  Extraction  Integration  Annotation  Query  Inference  ... 14
    • 15. ServicesDigital Enterprise Research Institute www.deri.ie  Storage  Extraction  Integration  Annotation  Query  Inference  ... 15
    • 16. ServicesDigital Enterprise Research Institute www.deri.ie  Storage  Extraction  Integration  Annotation  Query  Inference  ... 16
    • 17. Blackboard patternDigital Enterprise Research Institute www.deri.ie Data storage Storage service Desktop services 17
    • 18. ApplicationsDigital Enterprise Research Institute www.deri.ie  Categories of systems  Enhance existing applications with semantic features  Replace existing applications with new semantic ones  Flexible visualizations  Resource browser 18
    • 19. EvaluationsDigital Enterprise Research Institute www.deri.ie  Evaluation of PIM tools is difficult Kelly 2006  Simple ontologies prefered  Customisation rare Sauermann 2009  Semantic applications are better Franz 2008, 2009 19
    • 20. ConclusionDigital Enterprise Research Institute www.deri.ie  Similar  Motivations  Goals  Architectures  Outcomes  Adoption  Future of the systems 20

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