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Semantic matchmaking in a P-2-P electronic marketplace
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Data integration under integrity constraints
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Ontology-based natural language parser for E-marketplaces
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
A System for Principled Matchmaking in an Electronic Marketplace
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A Software Framework for Matchmaking Based on Semantic Web Technology
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Abductive matchmaking using description logics
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Semantic bayesian profiling services for information recommendation
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
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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.