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Improving Web Searching Using Descriptive Graphs

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Natural Language Processing and Information Systems (NLDB 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3136))

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Abstract

Finding a relevant piece of information on the web is a challenge. We propose in this paper to use simple ontologies and descriptive graphs. A simple ontology holds less information than a classical ontology. This offers two advantages: it is easy to obtain a consensus about a simple ontology, and the use of a simple ontology is more flexible and more easy, since it enforces fewer constraints. The simple ontologies are used for the building of descriptive graphs, which summarize the information held by a web ressource. The interoperability between simple ontologies is guaranteed by means of a global terminology. The query of the users is expressed by means of descriptive graphs. In order to answer the query of the user, we have to study the similarities between the descriptive graph of the query and the descriptive graphs of the web resources. In order to discover these similarities, we introduce the notions of precision of a concept, and of view of a descriptive graph.

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Author information

Authors and Affiliations

  1. Laboratoire Cedric, équipe Isid (Ingéniérie des Systèmes d’Information et de Décision), Conservatoire National des Arts et Métiers, Paris, France

    Alain Couchot

Authors
  1. Alain Couchot
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Editor information

Editors and Affiliations

  1. School of Computing, Science and Engineering Newton Building, University of Salford, M5 4WT, Greater Manchester, UK

    Farid Meziane

  2. Lab. CEDRIC, CNAM, Paris, France

    Elisabeth Métais

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© 2004 Springer-Verlag Berlin Heidelberg

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Couchot, A. (2004). Improving Web Searching Using Descriptive Graphs. In: Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2004. Lecture Notes in Computer Science, vol 3136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27779-8_24

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  • DOI: https://doi.org/10.1007/978-3-540-27779-8_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22564-5

  • Online ISBN: 978-3-540-27779-8

  • eBook Packages: Springer Book Archive

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