Abstract
This paper presents the results of the State University of New York at Buffalo in the Cross Language Evaluation Forum 2005 (CLEF 2005). We participated in monolingual Portuguese, bilingual English-Portuguese and in the medical image retrieval tasks. We used the SMART retrieval system for text retrieval in the mono and bilingual retrieval tasks on Portuguese documents. The main goal of this part was to test formally the support for Portuguese that had been added to our system. Our results show an acceptable level of performance in the monolingual task. For the retrieval of medical images with multilingual annotations our main goal was to explore the combination of Content-Based Image Retrieval (CBIR) and text retrieval to retrieve medical images that have clinical annotations in English, French and German. We used a system that combines the content based image retrieval systems GIFT and the well known SMART system for text retrieval. Translation of English topics to French was performed by mapping the English text to UMLS concepts using MetaMap and the UMLS Metathesaurus. Our results on this task confirms that the combination of CBIR and text retrieval improves results significantly with respect to using either image or text retrieval alone.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Salton, G. (ed.): The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs (1971)
Rocchio, J.J.: Relevance feedback in information retrieval. In: Salton, G. (ed.) The SMART Retrieval System: Experiments in Automatic Document Processing, pp. 313–323. Prentice-Hall, Englewood Cliffs (1971)
Ruiz, M.E., Srikanth, M.: UB at CLEF2004 Cross Language Medical Image Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 773–780. Springer, Heidelberg (2005)
Viper Research Group, http://viper.unige.ch
Clough, P., Müller, H., Deselaers, T., Grubinger, M., Lehmann, T.M., Jensen, J., Hersh, W.: The CLEF 2005 Cross–Language Image Retrieval Track. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 535–557. Springer, Heidelberg (2006)
Aronson, A.: Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program. In: The American Medical Informatics Association Conference (2001)
U.S. National Library of Medicine: Unified Medical Language System (UMLS). Bethesda, MD (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ruiz, M.E., Southwick, S.B. (2006). UB at CLEF 2005: Bilingual CLIR and Medical Image Retrieval Tasks. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_81
Download citation
DOI: https://doi.org/10.1007/11878773_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45697-1
Online ISBN: 978-3-540-45700-8
eBook Packages: Computer ScienceComputer Science (R0)