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On Using Social Context to Model Information Retrieval and Collaboration in Scientific Research Community

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Abstract

In this chapter, we particularly address the shift in the usage from the personal context toward social context in information retrieval area. We are specifically interested in the scientific communities and related practices for information retrieval, seeking, and collaboration. Therefore, we present an overview of works that tackle the problem of information retrieval in scientific community from a social perspective. Regarding the objective of exploiting the sociometric foundations in the context of literature retrieval, we present our social retrieval model. We particularly model the author’s importance within the community, formalize the degree of collaboration between authors, taggers’ interest in a scientific topic, and combine them to tune information relevance in response to a user query. Experimental evaluation using a scientific corpus of documents and social data extracted from the academic social network CiteULike (http://www.citeulike.org) is presented and shows the impact of the social view on the retrieval effectiveness assuming different assumptions of relevance emerging from socially endorsed data.

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Notes

  1. 1.

    Global positioning system.

  2. 2.

    http://scholar.google.com/

  3. 3.

    http://www.citeulike.org

  4. 4.

    http://www.academia.edu/

  5. 5.

    http://www.facebook.com

  6. 6.

    http://www.myspace.com

  7. 7.

    http://lucene.apache.org/

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Author information

Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Lynda Tamine

Authors
  1. Lynda Tamine
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  2. Lamjed Ben Jabeur
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  3. Wahiba Bahsoun
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Correspondence to Lynda Tamine .

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Editors and Affiliations

  1. Dept. Computer Science &, Computer Engineering, La Trobe University, Bundoora, 3083, Victoria, Australia

    Eric Pardede

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Tamine, L., Jabeur, L.B., Bahsoun, W. (2011). On Using Social Context to Model Information Retrieval and Collaboration in Scientific Research Community. In: Pardede, E. (eds) Community-Built Databases. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19047-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-19047-6_6

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