Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
RDFPeers: a scalable distributed RDF repository based on a structured peer-to-peer network
Proceedings of the 13th international conference on World Wide Web
Using peer-to-peer technology for knowledge sharing in communities of practices
Decision Support Systems
Knowledge Processing and Decision Making in Agent-Based Systems
Knowledge Processing and Decision Making in Agent-Based Systems
A Peer-to-Peer Information Sharing Method for RDF Triples Based on RDF Schema
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Distributed recommender for peer-to-peer knowledge sharing
Information Sciences: an International Journal
Oyster: sharing and re-using ontologies in a peer-to-peer community
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Virtual knowledge communities for corporate knowledge issues
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
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OWL ontologies are used to represent knowledge in web. In recent years, with the wide application of Semantic Web, large numbers of OWL ontologies have appeared on Internet, especially, in some virtual knowledge communities. These ontologies are distributed in different sites and provide an amount of knowledge to query. But, it has become a pressing issue that, given a semantic query, how to efficiently gather the related knowledge from these ontologies located in different sites to process it. To address this issue, in this paper, we propose a P2P-based approach to publish axioms in sharable ontologies and freely sharing them in an open distributed environment. Given a query of SPARQL, this approach can automatically gather published axioms related to the query to process the query. As a knowledge sharing approach, our approach can directly share axioms coming from different ontologies on different nodes. It overcomes limitations of those approaches which focus on how to locate related ontologies for a query. We also conducted two experiments to evaluate the effectiveness and the efficiency of our approach. The experimental results demonstrated that it is effective and efficient.