<$BlogRSDUrl$> Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
Internet Happenings, Events and Sources


Friday, June 04, 2004  

International Workshop on Peer-to-Peer Knowledge Management (P2PKM)
http://www.p2pkm.org/

Peer-to-Peer (P2P) computing has received significant attention from the side of research labs and academia, largely due to the popularity of commercialized P2P file sharing applications such as Napster, Morpheus and KaZaa. In the P2P model, peers exchange data and/or services in completely decentralized distributed manner. Peers are autonomous, and are free to choose what other peers to interact with, and, in this point-to-point interaction, peers possess equal functional capabilities.

On the other hand, Knowledge Management (KM) is increasingly viewed as a core capacity in order to compete in the modern social and economic environment. Researchers and practitioners agree that those intellectual assets that are embedded in working practices, social relationships, and technological artefacts constitute the only source of value that can sustain long term differentiation, quality of services, innovation, and adaptability. Nonetheless, even due to a debatable success of current KM implementations, still unclear is how such matter should be managed in highly complex, distributed, and heterogeneous settings.

In the last couple of years, P2P and KM have followed different but converging paths. In fact, P2P technologies have left their initial “computational”, “anarchoyd”, and spontaneous fashion to embrace more service level domains and business settings. On the other hand, KM is questioning its centralized assumption based on the implicit belief that knowledge is managed successfully when it can be standardized and controlled. In this sense, it seems that while P2P is looking for value added domains to better exploit its technological potential, KM is looking for a technological paradigm more able to fit an emerging distributed organization of knowledge.

The convergence of P2P and KM creates new challenges for researchers to address: new methodologies to model, design, and deploy distributed KM solutions; theories and algorithms to represent the social and semantic dimensions of a knowledge network; mechanisms to cope with the dynamic autonomous nature of P2P and to provide means to support emergent network self-organization.

This has been added to Knowledge Discovery Subject Tracer™ Information Blog and Deep Web Research Subject Tracer™ Information Blog.

posted by Marcus Zillman | 4:25 AM
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