Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces

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.

• Type: Conference
• Year: 2007
• Where: ESWS
• Authors: Azzurra Ragone, Umberto Straccia, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini
• Keywords: Dlr-lite Logic Programs, ESWS 2007, Fuzzy Logic, Peer-to-peer E-marketplaces