A vector space model for automatic indexing
Communications of the ACM
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Proceedings of the 2004 ACM symposium on Applied computing
Discovery of Web Services in a Federated Registry Environment
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Information Technology and Management
WSBen: A Web Services Discovery and Composition Benchmark
ICWS '06 Proceedings of the IEEE International Conference on Web Services
A fuzzy clustering approach for finding similar documents using a novel similarity measure
Expert Systems with Applications: An International Journal
Semantic Web Services Discovery in P2P Environment
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
An Argumentation Framework for Communities of Web Services
IEEE Intelligent Systems
Unified publication and discovery of semantic Web services
ACM Transactions on the Web (TWEB)
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
YASA-M: A Semantic Web Service Matchmaker
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Using Recommendation to Limit Search Space in Web Services Discovery
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Communities of Web service registries: Construction and management
Journal of Systems and Software
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In a service oriented B2B context, companies aiming to cooperate and interact with others have to make their services available through private service registries. Since the number of registries can be as large as the number of companies, the resulting registry network has to be organized to assist and improve the service discovery process. In this paper, we propose to use communities as a means to organize Web services registries in such a context. First, we propose a semantic model for Web services registry description (WSRD). A WSRD description is a semantic model depicting the functionalities offered by services advertised by a given registry. Thereafter, we propose an implicit approach for building communities based on the registries WSRD descriptions using a fuzzy clustering technique. Eventually, this clustering will be helpful for selecting an adequate registry for service requesters. Provided experimental evaluations in this paper show that our approach is efficient in realistic situations.