Search (2 results, page 1 of 1)

  • × author_ss:"Lafouge, T."
  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. Prime-Claverie, C.; Beigbeder, M.; Lafouge, T.: Transposition of the cocitation method with a view to classifying Web pages (2004) 0.00 
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    Abstract
    The Web is a huge source of information, and one of the main problems facing users is finding documents which correspond to their requirements. Apart from the problem of thematic relevance, the documents retrieved by search engines do not always meet the users' expectations. The document may be too general, or conversely too specialized, or of a different type from what the user is looking for, and so forth. We think that adding metadata to pages can considerably improve the process of searching for information an the Web. This article presents a possible typology for Web sites and pages, as weIl as a method for propagating metadata values, based an the study of the Web graph and more specifically the method of cocitation in this graph.
    Type
    a
  2. Lafouge, T.; Prime-Claverie, C.: Production and use of information : Characterization of informetric distributions using effort function and density function. Exponential informetric process (2005) 0.00 
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    Abstract
    Statistical regularities observed in the production or use of information have been studied for a long time. In this article we define an exponential informetric process to formalize these stochastic process. It is defined by combining an effort function with a density function. Without using the powerful results of Price on the cumulative advantages process this characterization clarifies the principle of least effort. Some links between statistical theory of information and some informetric distributions are enhanced.
    Type
    a

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