A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

revyu technology full details

Champion: Enrico Motta
Professor of Knowledge Technologies Email Icon Website Icon RDF Icon

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

Share:

Revyu

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.

Publications

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

Publications | Download PDF Publications | Visit External Site for Details  

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

View By

Research Themes

Latest Seminar
Microsoft Research Cambridge

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

More Details

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team