Dynamic communities formation through semantic tags

ABSTRACT

Taggers in social tagging systems have the main role in giving identities to the objects. Tagged objects also represent perception of their taggers about them and can define identities of their taggers in return. Consequently, identities that are assigned to the objects and taggers have effect on the quality of their categorization and communities formation around them. Tags in social semantic tagging systems have formal definitions because they are mapped to the concepts that are defined in ontologies. Semantic tags are not only able to improve quality of tag assignments by solving some common tags ambiguity problems related to classic folksonomy systems (i.e., in particular polysemy and synonymy), but also to provide some meta data on top of the social relations based on contribution of taggers around semantic tags. Those meta data may be exploited to form dynamic communities which addresses the problems of lack of commonly agreed and evolving meaning of tags in social semantic tagging systems. This paper proposes an approach to form dynamic communities of related taggers around the tagged objects. Because our perceptions in each specific area of knowledge is evolving over time, the goal of our approach is also to evolve the represented knowledge in semantic tagging systems dynamically according to the latest perception of the related users.

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Index Terms

• Human-centered computing

  • Collaborative and social computing

    • Collaborative and social computing theory, concepts and paradigms

      • Computer supported cooperative work

• Information systems

  • Information retrieval

    • Retrieval models and ranking

• Social and professional topics

  • Professional topics

    • Computing and business

      • Computer supported cooperative work