Exploiting ontologies and alignments for trust in semantic P2P networks

Manuel Atencia 1, 2 Jérôme Euzenat 2 Marie-Christine Rousset 3
1 LIG Laboratoire d'Informatique de Grenoble - HADAS
LIG - Laboratoire d'Informatique de Grenoble
2 EXMO - Computer mediated exchange of structured knowledge
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In a semantic P2P network, peers use separate ontologies and rely on alignments between their ontologies for translating queries. However, alignments may be limited —unsound or incomplete— and generate flawed translations, and thereby produce unsatisfactory answers. In this paper we propose a trust mechanism that can assist peers to select those in the network that are better suited to answer their queries. The trust that a peer has towards another peer is subject to a specific query and approximates the probability that the latter peer will provide a satisfactory answer. In order to compute trust, we exploit the information provided by peers’ ontologies and alignments, along with the information that comes from peers’ experience. Trust values are refined over time as more queries are sent and answers received, and we prove that these approximations converge.
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Manuel Atencia, Jérôme Euzenat, Marie-Christine Rousset. Exploiting ontologies and alignments for trust in semantic P2P networks . [Research Report] RR-LIG-018, LIG. 2011. ⟨hal-00921676v2⟩

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