ECAI 2004 Conference Paper

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Finding Social Network for Trust Calculation

Yutaka Matsuo, Hironori Tomobe, Koiti Hasida, Mitsuru Ishizuka

Trust is a necessary concept to realize the Semantic Web. But how can we build “Web of Trust”? We first argue that a small “Web of Trust” for each community is very essential to realize a huge “Web of Trust.” Then, we focus on an academic community as one of small “Web of Trust” and show a Web mining approach to automatically generate a social network. Each edge is added using the number of retrieved pages by a search engine which include both persons’ names. Moreover, each edge has a label such as “co-authors” and “members of the same project” by applying classification rules to the page content. The relation of persons such as “coauthor,” or “same laboratory” can be described by a RDF format. Finally, using the social network, we calculate authoritativeness of a node as a social trust and an individual trust.

Keywords: Web mining, Semantic Web, Social network, PageRank

Citation: Yutaka Matsuo, Hironori Tomobe, Koiti Hasida, Mitsuru Ishizuka: Finding Social Network for Trust Calculation. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.510-514.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).