Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Self-organization in multi-agent systems
The Knowledge Engineering Review
Web Information Retrieval in Collaborative Tagging Systems
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
The web from a complex adaptive systems perspective
Journal of Computer and System Sciences
Web science: an interdisciplinary approach to understanding the web
Communications of the ACM - Web science
Personalization of tagging systems
Information Processing and Management: an International Journal
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Artificial Intelligence Review
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Tags weighting based on user profile
AMT'11 Proceedings of the 7th international conference on Active media technology
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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.