Non-Monotonic Modeling for Personalized Services Retrieval and Selection

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Author(s): Raymond Y. K. Lau (City University of Hong Kong, China)and Wenping Zhang (City University of Hong Kong, China)
Copyright: 2012
Pages: 13
Source title: Theoretical and Analytical Service-Focused Systems Design and Development
Source Author(s)/Editor(s): Dickson K. W. Chiu (Dickson Computer Systems and The Hong Kong Polytechnic University, Hong Kong)
DOI: 10.4018/978-1-4666-1767-4.ch014

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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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.

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Non-Monotonic Modeling for Personalized Services Retrieval and Selection

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