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Peer–Mediated Distributed Knowledge Management
M. Bonifacio, P. Bouquet, G. Mameli, M. Nori
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Complex organizations as made up of Knowledge Nodes
Knowledge Nodes are social entities that “own” a local knowledge in terms of a content that has meaning within a context Individuals Communities Teams A community internal web site Marketing Communiy R&D Sales Force Sales Project Team 1 Knowledge Network Content An individual’s file system directory or outlook folders Context Local Knowledge A lotus notes team room
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Technological architecture of knowledge
The inconsintency of the technological architectures in current KM systems From a technological point of view, current KM technologies are inconsistent with the very nature of knowledge and its social architecture failure Social architecture of knowledge Technological architecture of knowledge KB Portal Social and technological architecture of knowledge AUTONOMY COORDINATION
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From organization to the technological architecture: Actors and Roles in an Information Retrieval applications Organizational Actors Individual K-Peer of a P2P network Group K-Federation Roles Knowledge Seeker seeker module Knowledge Provider provider/federation module Broker (suggesting potential providers to seekers) brokering module K-Peer I know! New Tool? Marketing she knows! Community K-Federation Sales Force we know! Project Team 1 Community Community KnowledgeNetwork Sales R&D
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From organization to the technological architecture: Knowledge Processes
CONTEXT Vacation 2001 2000 Sea Lake Mountains Puglia Spain USA 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 Ask, receive and provide information in and from them Knowledge Exchange module Discover, create and join to federation of peers Membership module Autonomy Coordination Coordination Sales Force R&D Marketing Sales Project Team 1 Peer Network Community Communiy
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KEx (Knowledge Exchange): User interface for Seeker
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Context management tool
Search documents related to a focus Semantic search Search (Focus Source) Query (Focus Source) Matching Service Provider Seeker User GUI Document descriptors Focus Target Document descriptors Document descriptors Mail id Document name Document path Mail subject Document descriptors Perform a semantic match Context management tool P. Bouquet, A. Donà, L. Serafini, ConTeXtualized Local Ontology Specification via CTXML Proceedings of the AAAI Workshop on Meaning Negotiation, Edmonton (Alberta, Canada), July 28, 2002
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Semantic Matching
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Search documents that contain keywords
Keyword based search Search (Keywords) Keywords Query (keywords) Indexing Service Provider Seeker User GUI Document descriptors Document descriptors Document descriptors Mail id Document name Document path Mail subject Document descriptors Search documents that contain keywords pst txt ppt html doc pdf xls ps Document repository
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KEx: Knowledge Space
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Context management tool
Share these documents Provide documents Incoming query Document descriptor Green Table Concept ID Context management tool Outlook pst file + Keywords Association to concept Semantic matching File system Indexing Service Provider Indexing Service Lotus Notes repository Keyword matching Add to indexes Indexing Service Other content repositories Indexing Service
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Conclusions and future works
We have developed a P2P application (based on JXTA protocols) for DKM that provides functionalities such as: Seeker Provider Broker Federations management To be developed: Community Management: peers can suggest to users to which federations they should join since semantically similar to them (bottom up community formation) Push information services: peers can advertise services to other peers on the base of semantically relevant interests (targeted advertisement) Recommendation: peers can listen to other users or other peers requests and suggest where or what to look for (help new comers) Social Network Monitoring: Knowledge Managers can monitor the formation and evolution of trust networks and corporate languages
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