Event Date/Time: Aug 22, 2004
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Call for Papers
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. New technologies should be provided in order to support full operational functioning of P2P KM systems, ensuring high extensibility of the solutions along several dimensions, such as scalability in the number of peers, size and kind of supported knowledge bases, level of heterogeneity in knowledge representation, robustness, etc. Various technologies can contribute to P2P KM solutions: Semantic Web, with new instruments for knowledge representation, in particular ontologies, as well as with (totally) mechanized means for locating, retrieving and processing of data; database technology, with formal semantics for P2P data sharing; multi agent technology, with innovation solutions of agent-mediated knowledge management; and so on.

The P2PKM workshop is intended to serve as an active forum for researchers and practitioners, where they will have the possibility to exchange and discuss research results, novel ideas and experiences, laying in the intersection of the P2P, KM and Semantic Web, database, multi agent, as well as other related technologies. It aims at provoking a discussion around the hypothesis of convergence of P2P and KM areas, and, in particular, at exploring synergies among those that need to provide a distributed technological answer to the distributed management of knowledge, and those that are interested in exploring the substantial implications of the P2P paradigm on important aspects of organizational life such as KM.

Topics of interest include but are not restricted to:

Distributed Knowledge Management business cases and experiences;
P2P to support (virtual) communities of practice and interest networks;
Organizational impacts of P2P technologies, and social adoption of distributed technologies;
Methodologies to analyse, design and deploy distributed KM solutions;
Social models to design and support knowledge intensive collaborative processes in a P2P environment;
Data models and distributed query languages;
Meta-data representation and management (e.g., semantic-based coordination mechanisms, use of ontologies in P2P KM systems, etc.);
Algorithms to discover distributed knowledge among interacting peers;
Protocols, algorithms and techniques to support semantic interoperability;
Trust and reputation as means to support knowledge acquisition;
Semantic Web and P2P KM systems;
Agent-mediated knowledge management;
P2P KM system architectures, infrastructure and middleware;
Experience with deployed systems, performance evaluation and benchmarking;