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  • × author_ss:"Qin, J."
  • × theme_ss:"Social tagging"
  1. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.02 
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    Abstract
    The growing predominance of social semantics in the form of tagging presents the metadata community with both opportunities and challenges as for leveraging this new form of information content representation and for retrieval. One key challenge is the absence of contextual information associated with these tags. This paper presents an experiment working with Flickr tags as an example of utilizing social semantics sources for enriching subject metadata. The procedure included four steps: 1) Collecting a sample of Flickr tags, 2) Calculating cooccurrences between tags through mutual information, 3) Tracing contextual information of tag pairs via Google search results, 4) Applying natural language processing and machine learning techniques to extract semantic relations between tags. The experiment helped us to build a context sentence collection from the Google search results, which was then processed by natural language processing and machine learning algorithms. This new approach achieved a reasonably good rate of accuracy in assigning semantic relations to tag pairs. This paper also explores the implications of this approach for using social semantics to enrich subject metadata.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
    Type
    a
  2. Qin, J.: Controlled semantics versus social semantics : an epistemological analysis (2008) 0.00 
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    Content
    Social semantics is more than just tags or vocabularies. It involves the users who contribute the tags, the perceptions of the world, and intentions that the tags are created for. Whilst social semantics is a valuable, massive data source for developing new knowledge systems or validating existing ones, there are also pitfalls and uncertainties. The epistemological analysis presented in this paper is an attempt to explain the differences and connections between social and controlled semantics from the perspective of knowledge theory. The epistemological connection between social and controlled semantics is particularly important: empirical knowledge can provide data source for testing the rational knowledge and rational knowledge can provide reliability and predictability. Such connection will have significant implications for future research on social and controlled semantics.
    Type
    a

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