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The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library.
| Title: | The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library. |
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| Authors: | Gonzalo, Julio, Thanos, Costantino, Verdejo, M. Felisa, Carrasco, Rafael C., Buenaga, Manuel, Maña, Manuel, Gachet, Diego, Mata, Jacinto |
| Source: | Research & Advanced Technology for Digital Libraries (9783540446361); 2006, p548-551, 4p |
| 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. [ABSTRACT FROM AUTHOR] |
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| DOI: | 10.1007/11863878_65 |
| Database: | Complementary Index |
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