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My PhD research focused on using the semantic web to support recommendation-seeking in social networks. Specifically it aimed to: understand how people use word of mouth within their social networks to locate information or explore particular topics; model these processes so they can be replicated in an online environment; build semantic web-based systems that support people in these locating and exploring tasks by making use of their social context.

Keys: semantic web, trust, social networks, recommender systems, known person recommendation, user experience, online tasks, user context, personal context, revyu, hoonoh



Publications | doi 

Bernstein, A., Karger, D., Heath, T., Feigenbaum, L., Maynard, D., Motta, E. and Thirunarayan, K. (eds.) (2009) The Semantic Web - ISWC 2009. 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009, 5823, Springer-Verlag, Berlin, Heidelberg

Publications | Visit External Site for Details Publications | doi 

Heath, T. and Motta, E. (2008) Revyu: Linking reviews and ratings into the Web of Data, Journal of Web Semantics, 6, 4, pp. 266-273, Elsevier

Publications | Download PDF Publications | Visit External Site for Details  

d'Aquin, M., Motta, E., Dzbor, M., Gridinoc, L., Heath, T. and Sabou, M. (2008) Collaborative Semantic Authoring, IEEE Intelligent Systems, 23, 3, pp. 80-83

Publications | Download PDF Publications | Visit External Site for Details Publications | doi
Publications | Download PDF Publications | Visit External Site for Details  

Heath, T. and Motta, E. (2007) Revyu.com: A Reviewing and Rating Site for the Web of Data, 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC+ASWC2007), Busan, Korea

View all 16 publications

Tech Reports

View AbstractDownload PDF

User Interaction and Uptake Challenges to Successfully Deploying Semantic Web Technologies
Techreport ID: kmi-06-18
Date: 2006
Author(s): Tom Heath, John Domingue, Paul Shabajee

View AbstractDownload PDF

The Modelling, Capture, and Use of Social Context in Online Tasks
Techreport ID: kmi-05-10
Date: 2005
Author(s): Tom Heath

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Latest Seminar
Dr. Siān Lindley
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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