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Revyu: Linking reviews and ratings into the Web of Data by Tom Heath; Enrico Motta is a Computer Science article available to read on EtoBox.

What is Revyu: Linking reviews and ratings into the Web of Data about?

Revyu 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 user 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 Web 2.0-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. In this paper we document design decisions made during the implementation of Revyu, discuss the techniques used for linking Revyu data with external sources, and outline how data from the site is being used to infer the trustworthiness of reviewers as sources of information and recommendat

Who reads Revyu: Linking reviews and ratings into the Web of Data?

Author

Tom Heath; Enrico Motta

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 1570-8268)

Published

2008

Language

EN

Field

Computer Science (Physical Sciences)