Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Add Exception Notification Mechanism to Web Services
ICA3PP '02 Proceedings of the Fifth International Conference on Algorithms and Architectures for Parallel Processing
Flexible Interface Matching for Web-Service Discovery
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Flexible retrieval of Web Services
Journal of Systems and Software
VsLattice: A vector-based conceptual index structure for web service retrieval
Information Systems Frontiers
An efficient approach for service retrieval
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Backing composite web services using formal concept analysis
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Text mining scientific papers: a survey on FCA-Based information retrieval research
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
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Web services have attracted much attention in recent years with the development of e-commercial technologies over the Internet. Although there are some standards and protocols for web service technologies, such as WSDL, UDDI and SOAP, the core technologies underlying Web services need further study in order to make these technologies practical and flexible. Efficient services management is the main task for services execution and services composition and there is no good solution until now. In this paper, we present a concept-based method for services management, which is efficient for services selection and alternative. Our method takes advantage of lattice and retrieves the optimal alternates for a given Web service efficiently by employing formal concept analysis and concept lattice. Compared with the former methods, this method is more efficient and accurate because the underlying semantics of Web services and users' requirements are exploited during the processing of retrieval. Experimental results also verify the efficiency and scalability of our approach.