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 deter-mine 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.
Knowledge elicitation for query refinement in a semantic-enabled e-marketplace / Colucci, Simona; Di Noia, Tommaso; Di Sciascio, Eugenio; Donini, Francesco M.; Ragone, Azzurra. - ELETTRONICO. - (2005), pp. 685-691. (Intervento presentato al convegno 7th International Conference on Electronic Commerce, ICEC05 tenutosi a Xi'an, China nel August 15-17, 2005) [10.1145/1089551.1089673].
Knowledge elicitation for query refinement in a semantic-enabled e-marketplace
Colucci, Simona;Di Noia, Tommaso;Di Sciascio, Eugenio;Donini, Francesco M.;
2005
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 deter-mine 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
