language: en

SINAI at ImageCLEFmed 2008

M.C. Daz-Galiano, M.A. Garca-Cumbreras, M.T. Martn-Valdivia, L.A. Ureña-López, A. Montejo-Ráez
University of Jaén. Computer Science Department Grupo Sistemas Inteligentes de Acceso a la Información
Campus Las Lagunillas, Ed. A3, E-23071, Jaén, Spain
{mcdiaz,magc,maite,laurena,amontejo}@ujaen.es

Abstract This paper describes the SINAI team participation in the ImageCLEF campaign. In this paper we only explain the experiments accomplished in the medical task. We have experimented with query expansion and the text information of the collection. For expansion, we carry out experiments using MeSH ontology and UMLS separately. With respect to text collection, we have used three different collections, one with caption and title, other with caption, title and the text of the section where the image appears, and the third with the full article. Moreover, we have experimented with mixed search, textual and visual search, using the FIRE software for image retrieval. The use of FIRE and MeSH expansion with the minimal collection (only caption and title) obtains the best results in the track.

Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software Keywords Visual and textual retrieval, Indexing, Ontologies, MeSH, UMLS

1 Introduction