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International Conference on Practical Aspects of Knowledge Management

PAKM 2006: Practical Aspects of Knowledge Management pp 119–130Cite as

DKOMP: A Peer-to-Peer Platform for Distributed Knowledge Management

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4333))

Abstract

Distributed knowledge management (KM) is a key component of any enterprise’s knowledge management strategy. However, issues related to implementing a robust distributed KM system deter their adoption in enterprises. We studied the requirements of a distributed KM system from an enterprise’s perspective. Based on our study, we propose DKOMP; a P2P infrastructure for distributed KM. DKOMP integrates tightly in to enterprise network infrastructure and yet retains the benefits of P2P paradigm. DKOMP should provide a good vehicle for increasing adoption of distributed KM in enterprises.

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Author information

Authors and Affiliations

  1. Software Engineering and Technology Labs (SETLabs), Infosys Technologies Ltd., Plot no. 1, Rajiv Gandhi Infotech Park, Hinjawadi, Pune, 411027

    Vikrant S. Kaulgud & Rahul Dolas

Authors
  1. Vikrant S. Kaulgud
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  2. Rahul Dolas
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Editor information

Editors and Affiliations

  1. Institute for Information and Process Management, University of Applied Sciences St. Gallen, Teufener Strasse 2, 9000, St. Gallen, Switzerland

    Ulrich Reimer

  2. Faculty of Computer Science, Department of Knowledge and Business Engineering, University of Vienna, Bruenner Str. 72, 1210, Vienna, Austria

    Dimitris Karagiannis

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© 2006 Springer-Verlag Berlin Heidelberg

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Kaulgud, V.S., Dolas, R. (2006). DKOMP: A Peer-to-Peer Platform for Distributed Knowledge Management. In: Reimer, U., Karagiannis, D. (eds) Practical Aspects of Knowledge Management. PAKM 2006. Lecture Notes in Computer Science(), vol 4333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11944935_11

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  • DOI: https://doi.org/10.1007/11944935_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49998-5

  • Online ISBN: 978-3-540-49999-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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