120 likes | 239 Views
Peer–Mediated Distributed Knowledge Management M. Bonifacio, P. Bouquet, G. Mameli , M. Nori. A community internal web site. Marketing. Local Knowledge. Context. Content. Communiy. Communiy. Sales Force. Project Team 1. Communiy.
E N D
Peer–Mediated Distributed Knowledge Management M. Bonifacio, P. Bouquet, G. Mameli, M. Nori
A community internal web site Marketing Local Knowledge Context Content Communiy Communiy Sales Force Project Team 1 Communiy An individual’s file system directory or outlook folders A lotus notes team room Communiy Knowledge Network Sales R&D 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
Social and technological architecture of knowledge COORDINATION AUTONOMY 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
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 From organization to the technological architecture:Actors and Roles in an Information Retrieval applications K-Peer I know! New Tool? Marketing she knows! Community K-Federation we know! Sales Force Project Team 1 Community Community KnowledgeNetwork Sales R&D
Autonomy CONTEXT Vacation Coordination Coordination 2001 2000 Marketing Community Mountains Sea Sea Lake Sales Force Puglia Spain USA Project Team 1 Communiy Community Peer Network Sales R&D From organization to the technological architecture:Knowledge Processes • 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 • Advertisement • Discovery module • Membership module
Search documents related to a focus Search (Focus Source) Query (Focus Source) User GUI Matching Service Document descriptors Focus Target Provider Seeker Document descriptors Document descriptors Context management tool Document name Document path Document name Document path Document name Document path Document name Document path Mail subject Mail id Mail subject Mail id Mail subject Mail id Document descriptors Semantic search Perform a semantic match 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
Search documents that contain keywords Search (Keywords) Keywords Query (keywords) User GUI Indexing Service pdf Document descriptors Provider Seeker Document descriptors Document descriptors ps xls doc html Document name Document path Document name Document path Document name Document path pst Document name Document path Mail subject Mail id Document repository Mail subject Mail id Mail subject Mail id txt Document descriptors ppt Keyword based search Search documents that contain keywords
Document descriptor Concept ID Document descriptor Concept ID Document descriptor Concept ID Document descriptor Concept ID + Keywords Green Table Outlook pst file Provider Context management tool Indexing Service Indexing Service Indexing Service Indexing Service Lotus Notes repository File system Other content repositories Share these documents Provide documents Incoming query Association to concept Semantic matching Keyword matching Add to indexes
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