Peer–Mediated Distributed Knowledge Management M. Bonifacio, P. Bouquet, G. Mameli , M. Nori
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Transcript of Peer–Mediated Distributed Knowledge Management M. Bonifacio, P. Bouquet, G. Mameli , M. Nori
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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 contextIndividualsCommunitiesTeams
A community internal web site
A lotus notes team room
Content
An individual’s file system directory or outlook folders
Context
Local KnowledgeMarketing
Communiy
R&D
Communiy
Sales Force
Communiy
Sales
Project Team 1
Knowledge Network
Communiy
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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
Portal
KB
Social architecture of knowledge Technological architecture of knowledge
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
Sales Force
R&D
Marketing
Sales
Project Team 1
KnowledgeNetwork
Community
Community
Community
K-Federation
K-PeerNew Tool?
I know!
we know!
she knows!
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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
Autonomy
From organization to the technological architecture:Knowledge Processes CONTEXT
Vacation
2001 2000
Sea LakeSeaMountains
Puglia Spain USA
Coordination
Sales Force
R&D
Marketing
Sales
Project Team 1
Peer Network
Community
Community
Communiy
Coordination
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KEx (Knowledge Exchange): User interface for Seeker
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Semantic search
MatchingService Provider Seeker
Document descriptors
UserGUI
Perform a semantic match
Query (Focus Source)
Document descriptorsFocus Target
Document descriptors
Search documents related to a
focus
Mail id
Document name Document path
Document name Document path
Document name Document path
Document name Document path
Mail subject Mail id
Mail subject
Mail subject
Mail id
Document descriptors
Search (Focus Source)
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
Context management tool
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Semantic Matching
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Keyword based search
IndexingService Provider Seeker
Search (Keywords)
Document descriptors
pst
txtppt
html
doc
xls
ps
Document repository
UserGUI
Search documents thatcontain keywords
Query (keywords)
Document descriptors
Keywords
Document descriptors
Search documents that
contain keywords
Mail id
Document name Document path
Document name Document path
Document name Document path
Document name Document path
Mail subject Mail id
Mail subject
Mail subject
Mail id
Document descriptors
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KEx: Knowledge Space
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Provide documentsShare these
documents
Context management tool
Outlook pst file
File system
Lotus Notes repository
Other content repositories
Document descriptor
Document descriptor
Document descriptor
Document descriptor
Green Table
Concept ID
Concept ID
Concept ID
Concept ID
Provider
Incoming query
IndexingService
IndexingService
IndexingService
IndexingService
Keyword matching
Semantic matching
Association to concept
Add to indexes
+ Keywords
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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