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Non-Monotonic Modeling for Personalized Services Retrieval and Selection

Non-Monotonic Modeling for Personalized Services Retrieval and Selection

Raymond Y. K. Lau, Wenping Zhang
Copyright: © 2010 |Volume: 1 |Issue: 2 |Pages: 14
ISSN: 1947-3052|EISSN: 1947-3060|EISBN13: 9781609603724|DOI: 10.4018/jssoe.2010040104
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MLA

Lau, Raymond Y. K., and Wenping Zhang. "Non-Monotonic Modeling for Personalized Services Retrieval and Selection." IJSSOE vol.1, no.2 2010: pp.55-68. http://doi.org/10.4018/jssoe.2010040104

APA

Lau, R. Y. & Zhang, W. (2010). Non-Monotonic Modeling for Personalized Services Retrieval and Selection. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 1(2), 55-68. http://doi.org/10.4018/jssoe.2010040104

Chicago

Lau, Raymond Y. K., and Wenping Zhang. "Non-Monotonic Modeling for Personalized Services Retrieval and Selection," International Journal of Systems and Service-Oriented Engineering (IJSSOE) 1, no.2: 55-68. http://doi.org/10.4018/jssoe.2010040104

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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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