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A Peer-to-Peer Solution for Distributed Knowledge Management

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Semantic Web and Peer-to-Peer
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Summary

Distributed Knowledge Management is an approach to Knowledge Management based on the principle that the multiplicity (and heterogeneity) of perspectives within complex organizations should not be viewed as an obstacle to knowledge exploitation, but rather as an opportunity that can foster innovation and creativity. Despite a wide agreement on this principle, most current KM systems are based on the idea that all perspectival aspects of knowledge should be eliminated in favor of an objective and general representation of knowledge. In this chapter we propose a Peer-to-Peer architecture (called KEx), which embodies the principle above in a quite straightforward way: (i) each peer (called a K-peer) provides all the services needed to create and organize “local” knowledge from an individual’s or a group’s perspective, and (ii) social structures and protocols of meaning negotiation are defined to achieve semantic coordination among autonomous peers (e.g., when searching documents from other K-peers).

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References

  1. M. Arumugam, A. Sheth, and I. Budak Arpinar: The peer-to-peer semantic web: A distributed environment for sharing semantic knowledge on the web. In: WWW2002 Workshop on Real World RDF and Semantic Web Applications. Honolulu, Hawaii, USA, 2002.

    Google Scholar 

  2. M. Benerecetti, P. Bouquet, and C. Ghidini: Contextual Reasoning Distilled. Journal of Theoretical and Experimental Artificial Intelligence, 12,3:279–305, July (2000).

    Google Scholar 

  3. J.R. Boland and R.V. Tenkasi: Perspective making and perspective taking in communities of knowing. Organization Science, 6,3:350–372, (1995).

    Google Scholar 

  4. M. Bonifacio, P. Bouquet, and R. Cuel. Knowledge Nodes: the Building Blocks of a Distributed Approach to Knowledge Management. Journal of Universal Computer Science, 8,6:652–661, (2002).

    Google Scholar 

  5. M. Bonifacio, P. Bouquet, and A. Manzardo: A distributed intelligence paradigm for knowledge management. In: Working Notes of the AAAI Spring Symposium Series 2000 on Bringing Knowledge to Business Processes. AAAI, March 18–20 2000.

    Google Scholar 

  6. M. Bonifacio and P. Bouquet and P. Traverso: Enabling Distributed Knowledge Management. Managerial and Technological Implications. Novatica and Informatik/Informatique III,1 (2002).

    Google Scholar 

  7. P. Bouquet: Contesti e ragionamento contestuale. Il ruolo del contesto in una teoria della rappresentazione della conoscenza, (Pantograph, Genova Italy 1998).

    Google Scholar 

  8. P. Bouquet, A. Doná, and L. Serafini: ConTeXtualized local ontology specification via ctxml. In: MeaN-02-AAAI workshop on Meaning Negotiation. Edmonton, Alberta, Canada, 2002.

    Google Scholar 

  9. G. C. Bowker and S. L. Star: Sorting things out: classification and its consequences, (MIT Press, 1999).

    Google Scholar 

  10. J. Dinsmore: Partitioned Representations, (Kluwer Academic Publishers, 1991).

    Google Scholar 

  11. D. Dougherty: Interpretative barriers to successful product innovation in large firms. Organization Science, 3,2 (1992).

    Google Scholar 

  12. G. Fauconnier: Mental Spaces: aspects of meaning construction in natural language, (MIT Press, 1985).

    Google Scholar 

  13. C. Ghidini and F. Giunchiglia: Local Models Semantics, or Contextual Reasoning = Locality + Compatibility. Artificial Intelligence, 127,2:221–259, April (2001).

    Article  MathSciNet  Google Scholar 

  14. Giunchiglia and I. Zaihrayeu: Making peer databases interact-a vision for an architecture supporting data coordination. In: 6th International Workshop on Cooperative Information Agents (CIA-2002). Universidad Rey Juan Carlos, Madrid, Spain, 2002.

    Google Scholar 

  15. I. Goffaman: Frame Analysis, (Harper & Row, New York, 1974).

    Google Scholar 

  16. T. Kuhn: The structure of Scientific Revolutions, (University of Chicago Press, 1979).

    Google Scholar 

  17. B. Magnini, L. Serafini, and M. Speranza: Linguistic based matching of local ontologies. In: P. Bouquet, editor, Working Notes of the AAAI-02 workshop on Meaning Negotiation. Edmonton, Canada, 2002.

    Google Scholar 

  18. J. McCarthy: Notes on Formalizing Context. In: Proc. of the 13th International Joint Conference on Artificial Intelligence, pages 555–560. Chambery, France, 1993.

    Google Scholar 

  19. M.P. Papazoglou, J. Jang, and B.J. Kraemer: Leveraging web-services and peer-to-peer networks, (2002).

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Bonifacio, M. (2006). A Peer-to-Peer Solution for Distributed Knowledge Management. In: Staab, S., Stuckenschmidt, H. (eds) Semantic Web and Peer-to-Peer. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28347-1_17

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  • DOI: https://doi.org/10.1007/3-540-28347-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28346-1

  • Online ISBN: 978-3-540-28347-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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