PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Ragone A., Straccia U., Di Noia T., Di Sciascio E., Domini F. M. Vague knowledge bases for matchmaking in P2P E-Marketplaces. In: 4th European Semantic Web Conference. ESWC-07 (Insbruck, 3-7th June 2007). Proceedings, pp. 414 - 428. E. Franconi, M. Kifer, and W. May (eds.). (Lecture Notes in Computer Science, vol. 4519). Springer Verlag, 2007.
 
 
Abstract
(English)
In this paper we propose an approach to semantic matchmaking that exploits various knowledge representation technologies to find most promising partners in peer-to-peer e-marketplaces. In particular we mix in a formal and principled way the semantic expressiveness of DLR-lite Logic Programs, fuzzy logic and utility theory. We adopt DLR-Lite Logic Programs to obtain a reasonable compromise between expressiveness and complexity to ensure the scalability of our approach to large e-marketplaces, and Fuzzy Logic to model logical specifications as soft constraints. Furthermore, fully exploiting the peer-to-peer paradigm, we consider in the matchmaking process preferences and corresponding utilities of both parties.
Subject Description Logics
Uncertainty
I.2.4 Knowledge Representation Formalisms and Methods


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