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Currently, the hypertext node (document) is used as the smallest information granularity seeked by the user. We suppose that the fact of considering the hypertext node as an informational unit has not always meaning, but is only a physical constraint. In fact, the user may need to search for one simple paragraph, or for a set of pages. However, IRS are based usually on the node granularity as basic unit. This physical constraint can be the cause of non-satisfactory results, typically, documents include irrelevant information for example due to their size. Moreover, if we handle nodes independently without taking into account the information dispersed in several nodes, we will probably have a « silence » in the answers. It means that it still has relevant information there but the IRS can not find them because documents lost their context and semantic relations between them. In this article, we redefine the concept of document in a hypertext context and precise query. We propose, as precise answers to a query, virtual documents that we call « reading paths ». They reflect the description of information on hypertexts. MOTS-CLES : RI, hypertexte, Web, liens, typage de liens, chemins de lecture.

Un modèle à base de chemin de lecture pour la Recherche d'Informations précises sur le Web