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Knowledge Media Institute | Revyu Logo

Revyu


Semantic Web and Knowledge Services   Social Software
A Web site that exploits Semantic Web technology and allows you to review and rate anything you want

Revyu.com is a web site where you can review and rate things. Unlike many other reviewing sites on the web, Revyu.com lets you review and rate absolutely anything you can name. Revyu.com exploits Semantic Web technologies, both as the underlying representation mechanism and also to dynamically retrieve semantic information available on the web, which is relevant to a particular review. Because the content of all reviews is published on the site in RDF/XML as well as HTML, you can easily reuse the reviews you write in any other web site or application.

Participant(s): Tom Heath, Enrico Motta, Peter Coetzee, Marian Petre, Martin Dzbor

Project Champion: Tom Heath
Further Information Email | Tom Heath


URL: http://revyu.com/


External Publications

Publications | doi

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

Publications | Download PDF Publications | doi

Heath, T., and Motta, E. (2008) Ease of Interaction plus Ease of Integration: Combining Web2.0 and the Semantic Web in a Reviewing Site, Journal of Web Semantics, 6, 1

Publications | Download PDF

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

Publications | Download PDF

Heath, T., and Motta, E. (2007) Computing Word-of-Mouth Trust Relationships in Social Networks from Semantic Web and Web2.0 Data Sources, Workshop: Workshop on Bridging the Gap between Semantic Web and Web 2.0 at 4th European Semantic Web Conference (ESWC2007), Innsbruck, Austria

Publications | Download PDF

Heath, T., and Motta, E. (2006) Reviews and Ratings on the Semantic Web, Poster at 5th International Semantic Web Conference (ISWC2006), Athens, GA, USA

 
The Open University KMi Event | SSSW08 Website | ECIR 2010 | 32nd European Conference on Information Retrieval | 28th - 31st March 2010