A Survey of Semantic Metadata Management Models for the Social Web

Johann Stan (1) , Pierre Maret (1)

1 LHC - Laboratoire Hubert Curien

Social systems are a new generation of Web 2.0 applications, characterized by their primarily user-driven content and the ability to mediate personal and social information across communities, such as teams, communities, and organizations. The recent growth and adaptation of social systems for personal and social information management has created new opportunities for users to be producers as well as consumers of information. This paper aims at studying the different models that have been proposed to better connect resources, annotations and users and their usage in the social Web. The paper aims to answer questions like: \textit{What are the existing models that allow to semantically describe resources, users and tags in the social Web? What are the characteristics of such models? What are the differences between those models?} The final objective is to provide an understandable study and comparison of some of the existing models to help researchers, and developers, to make their decision whenever there is a need to use a semantic meta-data model in the social Web. More concretely, this work aims to be a reference guide for different professionals in order to accelerate the adoption of such technologies in the Social Web.

Mots clés: semantic; social; network; tagging

Domaines: Informatique ubiquitaire

Johann Stan, Pierre Maret. A Survey of Semantic Metadata Management Models for the Social Web. 2009. ⟨ujm-00378720v2⟩