>>>>Paper submission deadline is extended to April 6, 2009<<<<
Web 2.0 introduced the remarkable phenomenon of user-generated content. Large numbers of most popular sites on the Web are currently mainstream Web 2.0 applications with rich user-generated content. Web 2.0 reduces the barriers of online collaboration and encourages the generation and distribution of content. As a result, Web 2.0 applications are collecting large amount of data. However, this data is poorly structured, highly subjective and often buried in a low-quality content. Adding formal semantics to tags can be an important step in the direction of a better navigation and searching and should help to transform tag clouds and folksonomies into valuable aggregations representing a sort of "collective knowledge".
Web 3.0, also called the Intelligent Web, refers to the provision of a more productive, personalized and intuitive environment through the integration of Semantic Web and in general Artificial Intelligence technologies emphasizing the information understanding. The information has to be structured in such a way that machines can read and understand it as much as humans can, without ambiguity.
The main goal of this workshop is to provide a forum where current researchers and practitioners from different fields can meet and discuss the state of the art and latest ideas and issues in the use of collective knowledge through semantic social web.
Topics of interest include but not limited to:
- Characterization of Web 3.0
- Advantages of "semantic social web" over semantic or social web
- Creation of "structured" collective knowledge from users' contributions
- Folksonomies vs controlled vocabularies or ontologies
- Semantic tagging and annotation for social web
- Information retrieval in the Web 3.0 scenario
- Personalization and recommender systems in the Web 3.0 scenario
- Federica Cena, University of Turin, Italy, firstname.lastname@example.org
- Pasquale Lops, University of Bari, Italy, email@example.com
- Rosta Farzan, University of Pittsburgh, USA, firstname.lastname@example.org