Semantic Web Constraint Language and its application to an intelligent shopping agent

  • Authors:
  • Hak-Jin Kim;Wooju Kim;Myungjin Lee

  • Affiliations:
  • School of Business, Yonsei University, 134 Shinchon-dong, Seodaemoon-ku, Seoul, 120-749, South Korea;Dept. of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seodaemoon-ku, Seoul, 120-749, South Korea;Dept. of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seodaemoon-ku, Seoul, 120-749, South Korea

  • Venue:
  • Decision Support Systems
  • Year:
  • 2009

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Abstract

Semantic Web society was initially focused only on data, but then gradually moved toward knowledge. If a vision of the Semantic Web is to enhance humans' decision-making assisted by machines, a missing but important part is knowledge about constraints on data and concepts represented by ontology. This paper proposes a Semantic Web Constraint Language (SWCL) based on OWL, and shows its effectiveness in representing and solving an internet shopper's decision-making problems by implementing a shopping agent in the Semantic Web environment.