Building Users' Profiles from Clustering Resources in Collaborative Tagging Systems

The evolution of the Web and its applications has undergone in the last few years a mutation towards technologies that include the social dimension as a first class entity in which the users, their interactions and the emerging social networks are the center of this evolution. Let us consider the case of collaborative tagging systems. These systems are an example of complex, selforganized and socially aware systems. The multi-agent systems paradigm coordinated by self-organization mechanisms was used in an effective way for the design and modeling of complex systems. In this paper, we propose a model for the design and development of a new collaborative tagging system, MySURF (My Similar Users, Resources, Folksonomies), using a multi-agent system approach governed by the co-evolution of the social and spatial organizations of the agents. We show how the proposed system offers several new features that can improve current collaborative tagging systems, including clustering of resources and building users' profiles.