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Vague Knowledge-bases for Matchmaking in P2P E-Marketplaces
Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces
In Proceedings of the 4th European Semantic Web Conference (ESWC-07).
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.
E-Marketplaces", booktitle = "4th European Semantic Web Conference (ESWC 2007)", series = "Lecture Notes in Computer Science (LNCS)", volume = "4519", pages = "414--428", year = "2007", publisher = "Springer-Verlag", url = "http://sisinflab.poliba.it/sisinflab/publications/