Perspectives in semantic adaptive social web

Authors:
Federica Cena;Antonina Dattolo;Pasquale Lops;Julita Vassileva
Affiliations:
University of Turin, Italy;University of Udine, Italy;University of Bari Aldo Moro, Italy;University of Saskatchewan, Canada
Venue:
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Year:
2013

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Abstract

The Social Web is now a successful reality with its quickly growing number of users and applications. Also the Semantic Web, which started with the objective of describing Web resources in a machine-processable way, is now outgrowing the research labs and is being massively exploited in many websites, incorporating high-quality user-generated content and semantic annotations. The primary goal of this special section is to showcase some recent research at the intersection of the Social Web and the Semantic Web that explores the benefits that adaptation and personalization have to offer in the Web of the future, the so-called Social Adaptive Semantic Web. We have selected two articles out of fourteen submissions based on the quality of the articles and we present the main lessons learned from the overall analysis of these submissions.