1. KEx objectives Supporting distributed and heterogeneous organizations in managing their knowledge processes, by technologically implementing the basic DKM concepts:  Autonomy  by a set of document management functionalities  Coordination  by a set of knowledge exchange functionalities Organization Sales Force R&D Marketing Sales Project Team 1 Community

2. System requirements  We have implemented a P2P system where each peer must be able to: –Create and manage a knowledge representation Context Markup Language Context Editor Context extraction tools –Declare its existence in the network Advertisement –Discover other available / active peers on the network Discovery module Ping module –Discover, create and join to federation of peers Advertisement Discovery module Membership module –Ask and receive information from them Knowledge Exchange module –Provide information to them Knowledge Exchange module Propagation module  We characterized tools by semantic capabilities: –Semantic Matching Algorithms –Semantic Meaning Negotiation protocols  Our choices

3. P2P Software Architectures (JXTA proposal) JXTA Core PeerPeer Group Advertisement Endpoints MessagesPipe Peer Discovery Protocol (PDP) Peer Resolver Protocol (PRP) Peer Information Protocol (PIP) Pipe Binding Protocol (PBP) Peer Membership Protocol (PMP) Peer Endpoint Protocol (PEP) JXTA Services JXTA Applications JXTA Community Services SUN JXTA Services -Indexing -Searching -File sharing JXTA Community Applications SUN JXTA Applications JXTA Shell Peer Commands Common layering structure at the conceptual level: K-Peer K-Federation K-Peer Advertisement Pipe K-Peer Discovery Protocol K-Peer Knowledge Exchange Protocol K-Federation Discovery Protocol K-Peer Propagation Protocol K-Federation Advertisement KExDistributed Search Engine KEx Architecture (based on JXTA)

4. KEx high level architecture K-Peer Context Repository Document Repository ProviderSeeker Federation Provider 0..n Communication Manager JXTA Protocols P2P Services Context Editor Context Enrichment Context Normalization Linguistic Resource Discovery Query Maker GUI User 1 2 3 Lexical Query Solver Indexing Service Matching Algorithm Semantic Query Solver Query Solver Query Propagation