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Computing word-of-mouth trust relationships in social networks from Semantic Web and Web 2.0 data sources

Heath, Tom; Motta, Enrico and Petre, Marian (2007). Computing word-of-mouth trust relationships in social networks from Semantic Web and Web 2.0 data sources. In: The 4th European Semantic Web Conference (ESWC 2007), 3-7Jun e2007, Innsbruck, Austria.

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Social networks can serve as both a rich source of new information and as a filter to identify the information most relevant to our specific needs. In this paper we present a methodology and algorithms that, by exploiting existing Semantic Web and Web2.0 data sources, help individuals identify who in their social network knows what, and who is the most trustworthy source of information on that topic. Our approach improves upon previous work in a number of ways, such as incorporating topic-specific rather than global trust metrics. This is achieved by generating topic experience profiles for each network member, based on data from Revyu and, to indicate who knows what. Identification of the most trustworthy sources is enabled by a rich trust model of information and recommendation seeking in social networks. Reviews and ratings created on Revyu provide source data for algorithms that generate topic expertise and person to person affinity metrics. Combining these metrics, we are implementing a user-oriented application for searching and automated ranking of information sources within social networks.

Item Type: Conference Item
Copyright Holders: The Authors
Extra Information: Presented at Bridging the Gap between Semantic Web and Web 2.0, International Workshop located at 4th European Semantic Web Conference (ESWC 2007)

Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
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Item ID: 23610
Depositing User: Kay Dave
Date Deposited: 06 Jun 2011 12:06
Last Modified: 23 Feb 2016 21:27
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