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A Framework of Internet Shopping Decision Making Based on Semantic Web Constraint Language  

Lee, Myung-Jin (연세대학교 공과대학 정보산업도시공학과)
Kim, Hak-Jin (연세대학교 경영대학)
Kim, Woo-Ju (연세대학교 공과대학 정보산업도시공학과)
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Abstract
Semantic Web society initially focused only on data but has gradually moved toward knowledge. Recently rule beyond ontology has emerged as a key element of the Semantic Web. All of these activities are obviously aiming at making data and knowledge on the Web sharable and reusable between various entities around the world. If one of ultimate visions of the Semantic Web is to increase human's decision making quality assisted by machines, there is a missing but important part to be shared and reused. It is knowledge about constraints on data and concepts represented by ontology which should be emphasized more. In this paper, we propose Semantic Web Constraint Language (SWCL) based on OWL and show how effective SWCL can be in representing and solving an internet shopper's decision making problem by an implementation of a shopping agent in the Semantic Web environment.
Keywords
Semantic Web; Constraint; Optimization Model; Decision Making; OWL; SWRL; SWCL; Internet Shopping Agent;
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