Non-Monotonic Modeling for Personalized Services Retrieval and Selection

Raymond Y. K. Lau and Wenping Zhang
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Raymond Y. K. Lau: City University of Hong Kong, China
Wenping Zhang: City University of Hong Kong, China

International Journal of Systems and Service-Oriented Engineering (IJSSOE), 2010, vol. 1, issue 2, 55-68

Abstract: With growing interest in Semantic Web services and emerging standards, such as OWL, WSMO, and SWSL in particular, the importance of applying logic-based models to develop core elements of the intelligent Semantic Web has been more closely examined. However, little research has been conducted in Semantic Web services on issues of non-mono-tonicity and uncertainty of Web services retrieval and selection. In this paper, the authors propose a non-monotonic modeling and uncertainty reasoning framework to address problems related to adaptive and personalized services retrieval and selection in the context of micro-payment processing of electronic commerce. As intelligent payment service agents are faced with uncertain and incomplete service information available on the Internet, non-monotonic modeling and reasoning provides a robust and powerful framework to enable agents to make service-related decisions quickly and effectively with reference to an electronic payment processing cycle.

Date: 2010
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