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Taste It! Try It! – A Semantic Web Mobile Review Application

Authors:
Monika Kaczmarek
Agata Filipowska
Jakub Dzikowski
Szymon Łazaruk
Witold Abramowicz

Keywords: Semantic Web; semantic annotation; Linked Open Data; incentives; Web 2.0; review systems.

Abstract:
Web-based review systems provide a valuable service to consumers allowing them to share opinions on various goods and services. In order to improve the comparability of opinions as well as their retrieval and further application, systems more and more often take advantage of semantic annotations and Semantic Web technologies. However, as users are not really interested in delivering semantic annotations of content, specific tools incorporating incentives' mechanisms are needed to transform the syntactic content into the machine understandable one. This paper presents a Semantic Web mobile review application, supporting semantic-based user profiling and contextual semantic search, benefiting from linked data and equipped with Web 2.0 motivations mechanisms.

Pages: 122 to 127

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-181-6

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012