Vague Knowledge-bases for Matchmaking in P2P E-Marketplaces

4th European Semantic Web Conference (ESWC 2007), Springer-Verlag, Volume 4519, page 414--428 - 2007
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Abstract Ragone et al.

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.

BibTex references

author = {Azzurra Ragone and Umberto Straccia and Tommaso {Di Noia} and Eugenio {Di Sciascio} and Francesco M. Donini},
title = "Vague Knowledge-bases for Matchmaking in P2P
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 = "

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