Knowledge elicitation for query refinement in a semantic-enabled e-marketplace

  • Authors:
  • Simona Colucci;Tommaso Di Noia;Eugenio Di Sciascio;Francesco M. Donini;Azzurra Ragone

  • Affiliations:
  • The Open University, UK;Politecnico di Bari, Bari, Italy;Politecnico di Bari, Bari, Italy;Universitá della Tuscia, Viterbo, Italy;Politecnico di Bari, Bari, Italy

  • Venue:
  • ICEC '05 Proceedings of the 7th international conference on Electronic commerce
  • Year:
  • 2005

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Abstract

In this paper we present a knowledge-based approach to the elicitation of information from advertisements, in the framework of a semantic-enabled marketplace. The elicited information can be used for advertisements enriching and refining, without requiring users thorough knowledge of the domain, and to determine a logicbased exact match. The approach exploits non-standard inference services in Description Logics, namely Abduction and Contraction, to tackle a typical problem of semantic-enabled marketplaces, that is the difficulty the average or casual user has in exploiting all the knowledge expressed in an e-commerce domain, which appears necessary to issue requests. We present an algorithm, which returns the set of concepts not included in the request-that can be used for query refinement- and more interesting what is still missing for each available supply, to obtain an exact, bidirectional, match.