The Web 2.0 and the Semantic Web represent different forms of evolution of the first-generation Web, and both of them enrich Web resources with semantic annotations. Recommendation and personalization of Web resources is another trend that becomes more and more important with the growth of information, and both the Web 2.0 and the Semantic Web are deeply connected to it. The objective of this paper is to analyze the contribution of recommendation and adaptation techniques to these paradigms and to investigate if these techniques can be used as a bridge for their integration. More specifically, the paper will focus on the contribution of adaptation and recommendation techniques to improve the quality of annotations in the Web 2.0, Semantic Web, and mixed approaches and the relevance of annotated resources that are retrieved or filtered to users.
Adaptation and Recommendation Techniques to Improve the Quality of Annotations and the Relevance of Resources in Web 2.0 and Semantic Web-Based Applications
TORRE, ILARIA
2010-01-01
Abstract
The Web 2.0 and the Semantic Web represent different forms of evolution of the first-generation Web, and both of them enrich Web resources with semantic annotations. Recommendation and personalization of Web resources is another trend that becomes more and more important with the growth of information, and both the Web 2.0 and the Semantic Web are deeply connected to it. The objective of this paper is to analyze the contribution of recommendation and adaptation techniques to these paradigms and to investigate if these techniques can be used as a bridge for their integration. More specifically, the paper will focus on the contribution of adaptation and recommendation techniques to improve the quality of annotations in the Web 2.0, Semantic Web, and mixed approaches and the relevance of annotated resources that are retrieved or filtered to users.
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