Abstract
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, self-organized 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.
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References
Rupert, M., Rattrout, A., Hassas, S.: The web from a Complex Adaptive Systems Perspective. Journal of Computer and Systems Sciences 74, 133–145 (2008)
Hendler, J., Shadbolt, N., Halla, W., Berners-Lee, T., Weitzner, D.: Web science: an interdisciplinary approach to understanding the web. Communications of the ACM 51, 60–69 (2008)
Yeung, C.-M., Noll, M., Gibbins, N., Meinel, C., Shadbolt, N.: On Measuring Expertise in Collaborative Tagging Systems. Presented at WebSci 2009: Society On-Line, Athens, Greece (2009)
Milicevic, A.K., Nanopoulos, A., Ivanovic, M.: Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions. Artif. Intell. Rev. 33, 187–209 (2010)
Wang, J., Clements, M., Yang, J., Vries, A.P.d., Reinders, M.J.T.: Personalization of tagging systems. Inf. Process. Manage. 46, 58–70 (2010)
Choy, S.-O., Lui, A.: Web Information Retrieval in Collaborative Tagging Systems. Presented at IEEE/WIC/ACM International Conference on Web Intelligence (2006)
Serugendo, G.D.M., Gleizes, M.-P., Karageorgos, A.: Self-organization in multi-agent systems. Knowl. Eng. Rev. 20, 165–189 (2005)
Holland, O.E., Melhuish, C.: Stigmergy, self-organization, and sorting in collective robotics. Artificial Life 5, 173–202 (1999)
Cattuto, A.B.C., Servedio, V., Loreto, V.: Emergent Community Structure in Social Tagging Systems. Presented at European Conference on Complex Systems, Dresden (2007)
Capocci, A., Servedio, V.D.P., Caldarelli, G., Colaiori, F.: Detecting communities in large networks (2004), Ed., http://www.citebase.org/abstract?id=oai:arXiv.org:cond-mat/0402499
Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: Information Retrieval in Folksonomies: Search and Ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)
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Rupert, M., Hassas, S. (2010). Building Users’ Profiles from Clustering Resources in Collaborative Tagging Systems. In: An, A., Lingras, P., Petty, S., Huang, R. (eds) Active Media Technology. AMT 2010. Lecture Notes in Computer Science, vol 6335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15470-6_36
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DOI: https://doi.org/10.1007/978-3-642-15470-6_36
Publisher Name: Springer, Berlin, Heidelberg
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