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CARSA : A context-aware reasoning-based service agent model for AI planning of web service compostion
journal contribution
posted on 2011-01-01, 00:00 authored by W Niu, Gang LiGang Li, H Tang, X Zhou, Z ShiIn order to achieve automatic and more intelligent service composition, dynamic description logic (DDL) is proposed and utilized as one emerging logic-level solution. However, reasoning optimization and utilization in such DDL-related solutions is still an open problem. In this paper, we propose the context-aware reasoning-based service agent model (CARSA) which exploits the relationships among different service consumers and providers, together with the corresponding optimization approach to strengthen the effectiveness of Web service composition. Through the model, two reasoning optimization methods are proposed based on the substitute relationship and the dependency relationship, respectively, so irrelevant actions can be filtered out of the reasoning space before the DDL reasoning process is carried out. The case study and experimental analysis demonstrates the capability of the proposed approach.
History
Journal
Journal of Network and Computer ApplicationsVolume
34Issue
5Pagination
1757 - 1770Publisher
Academic PressLocation
LondonISSN
1084-8045eISSN
1095-8592Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2011, Academic PressUsage metrics
Keywords
semantic webservicesservice compositioncontext managementdynamic description logicreasoning optimizationScience & TechnologyTechnologyComputer Science, Hardware & ArchitectureComputer Science, Interdisciplinary ApplicationsComputer Science, Software EngineeringComputer ScienceSemantic Web servicesSEMANTIC WEBSYSTEMDistributed Computing
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