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Semantic Web-Based Product Search

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Advances in Conceptual Modeling (ER 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8697))

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Abstract

Product search on the Web has become increasingly popular for consumers to find products of interest. This paper proposes SWEPS, a platform inspired by concepts from the Semantic Web, for the purpose of effective and efficient product search. The proposed platform consists of modules that are responsible for the retrieval, integration, aggregation, and presentation of product information on the Web. The main goal is to reduce the consumer effort when searching and browsing for desired products. In order to test the viability of the proposed approach, we also present an adequate evaluation methodology for the proposed platform.

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Author information

Authors and Affiliations

  1. Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands

    Damir Vandic & Viorel Milea

Authors
  1. Damir Vandic
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  2. Viorel Milea
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Editor information

Editors and Affiliations

  1. Faculty of Business Administration, Memorial University of Newfoundland, A1B 3X5, St. John’s, NL, Canada

    Jeffrey Parsons

  2. Faculty of Education, Division of Information and Technology Studies, The University of Hong Kong, Hong Kong, China

    Dickson Chiu

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Vandic, D., Milea, V. (2014). Semantic Web-Based Product Search. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_17

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  • DOI: https://doi.org/10.1007/978-3-319-14139-8_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14138-1

  • Online ISBN: 978-3-319-14139-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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