Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Ontology Versioning and Change Detection on the Web
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Coordinating multiple agents in the supply chain
WET-ICE '96 Proceedings of the 5th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE'96)
Evaluating different methods of estimating retrieval quality for resource selection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
From definition to deployment: What next for agent-based systems?
The Knowledge Engineering Review
IAOM: an integrated automatic ontology mapping approach towards knowledge integration
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
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Currently, the available architectures for knowledge management are mainly centralized and focus on basic string processing in essence. They tend to ignore that knowledge is distributed and full of semantics in and among complex knowledge-based organizations. Distributed knowledge management appears to solve the issues of distributed knowledge resources. Meanwhile, ontological engineering, which aims at describing the semantics for the knowledge or information, has been increasingly used in artificial intelligence and business in the past several years. Taking this into consideration, an architecture of distributed knowledge management, towards semantic interoperation (SiDKM) by introducing ontological engineering theory and multi-agent system (MAS) for distributed knowledge resources, is proposed in this paper. This architecture involves almost all the core modules in the knowledge management process, and can process large amounts of heterogeneous and distributed knowledge, which enables efficient knowledge sharing, reuse and evolution.