Doxels in context for retrieval: from structure to neighbours

Delphine Verbyst 1 Philippe Mulhem 2
2 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : We present in this paper a new way of considering retrieval of structured documents: we intend to make the exploration of structured documents elements (doxels) easier by relying heavily on the inter-relations. These relations may be defined at creation time of the documents (like navigation or reference links), but may also be created by the information retrieval system (like kNN neighbours). Unlike Pagerank or HITS that separate features coming from links and elements coming from the content, we integrate these two aspects by defining relative specificity and exhaustivity between doxels. We use these features as well as the doxel content in a comprehensive matching process, in a way to facilitate the exploration of the result space by a user to select the relevant doxels and in addition by indicating potential good neighbours to view from one doxel. Results of experiments on the INEX2005 test collection are presented.
Type de document :
Communication dans un congrès
ACM SAC 2008 - IAR Track, 2008, Fortaleza, Bresil, pp.211--223, 2008
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https://hal.inria.fr/hal-00953872
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:02:52
Dernière modification le : mardi 24 avril 2018 - 13:29:33

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  • HAL Id : hal-00953872, version 1

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Delphine Verbyst, Philippe Mulhem. Doxels in context for retrieval: from structure to neighbours. ACM SAC 2008 - IAR Track, 2008, Fortaleza, Bresil, pp.211--223, 2008. 〈hal-00953872〉

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