a reviewing and rating site for the Web of Data

Heath, Tom and Motta, Enrico (2007). a reviewing and rating site for the Web of Data. In: Aberer, Karl; Choi, Key-Sun; Noy, Natasha; Allemang, Dean; Lee, Kyung-Il; Nixon, Lyndon; Golbeck, Jennifer; Mika, Peter; Maynard, Diana; Mizoguchi, Riichiro; Schreiber, Guus and Cudré-Mauroux, Philippe eds. The Semantic Web: 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007. Proceedings. Lecture Notes in Computer Science (4825). Berlin, Heidelberg: Springer, pp. 895–902.


Abstract is a live, publicly accessible reviewing and rating Web site, designed to be usable by humans whilst transparently generating machine-readable RDF metadata for the Semantic Web, based on their input. The site uses Semantic Web specifications such as RDF and SPARQL, and the latest Linked Data best practices to create a major node in a potentially Web-wide ecosystem of reviews and related data. Throughout the implementation of Revyu design decisions have been made that aim to minimize the burden on users, by maximizing the reuse of external data sources, and allowing less structured human input (in the form of Web2.0-style tagging) from which stronger semantics can later be derived. Links to external sources such as DBpedia are exploited to create human-oriented mashups at the HTML level, whilst links are also made in RDF to ensure Revyu plays a first class role in the blossoming Web of Data. The site is available at <>.

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