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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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
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