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Improving Web Searching Using Descriptive Graphs

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

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.

Keywords

Similarity Coefficient Average Precision Domain Ontology Semantic Annotation Precision Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Alain Couchot
    • 1
  1. 1.Laboratoire Cedric, équipe Isid (Ingéniérie des Systèmes d’Information et de Décision)Conservatoire National des Arts et MétiersParisFrance

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