Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Modern Information Retrieval
KEx: A Peer-to-Peer Solution for Distributed Knowledge Management
PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
WWW '03 Proceedings of the 12th international conference on World Wide Web
Data consistency in a p2p knowledge management platform
Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A peer-to-peer virtual office for organizational knowledge management
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
A semantic searching scheme in heterogeneous unstructured P2P networks
Journal of Computer Science and Technology - Special issue on Natural Language Processing
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Semantic search, one of the ideas underpinning the Semantic Web vision, is receiving attention from the scientific community since it can significantly improve keyword-based search. In this paper we present the SECCO ontology mapping algorithm that enables distributed semantic search of Knowledge Objects (e.g., textual documents, emails) within Peer to Peer networks. We discuss the ontological framework which SECCO is founded on and how the algorithm is implemented in a semantic Peer to Peer framework, named K-link+. The ontological framework along with the SECCO algorithm allow K-link+ to: (i) exploit ontologies for knowledge representation; (ii) annotate KOs to ontology concepts; (iii) retrieve and rank KOs; (iv) create collaborative communities of peers called semantic workspaces. Experimental results show the effectiveness of the proposed approach.