Knowledge Elicitation for Query Refinement in a Semantic-Enabled E-Marketplace

7th International Conference on Electronic Commerce ICEC 05 ACM Press, page 685--691 - 2005
Download the publication : icec05.pdf [98Ko]  
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 logic-based 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.

BibTex references


@InProceedings{CDDDR05,
author = {Simona Colucci and Tommaso {Di Noia} and Eugenio {Di Sciascio} and Francesco M. Donini and Azzurra Ragone},
title = "Knowledge Elicitation for Query Refinement in a
Semantic-Enabled E-Marketplace",
booktitle = "7th International Conference on Electronic
Commerce ICEC 05 ACM Press",
pages = "685--691",
year = "2005",
publisher = "ACM",
url = "http://www-ictserv.poliba.it/publications/2005/CDD
DR05"
}

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SisInf Lab - Information Systems Laboratory

Research group of Politecnico di Bari
Edoardo Orabona St, 4 Bari, Italy