Abstract
Intelligent information access systems integrate text mining and content analysis capabilities as a relevant element in an increasing way. In this paper we present our work focused on the integration of text categorization and summarization to improve information access on a specific medical domain, patient clinical records and related scientific documentation, in the framework of two different research projects: SINAMED and ISIS, developed by a consortium of two research groups from two universities, one hospital and one software development firm. SINAMED has a basic research orientation and its goal is to design new text categorization and summarization algorithms based on the utilization of lexical resources in the biomedical domain. ISIS is a R&D project with a more applied and technology-transfer orientation, focused on more direct practical aspects of the utilization in a concrete public health institution.
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© 2006 Springer-Verlag Berlin Heidelberg
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de Buenaga, M., Maña, M., Gachet, D., Mata, J. (2006). The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2006. Lecture Notes in Computer Science, vol 4172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863878_65
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DOI: https://doi.org/10.1007/11863878_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44636-1
Online ISBN: 978-3-540-44638-5
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