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The SINAMED and ISIS projects: Applying text mining techniques to improve access to a medical digital library

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dc.contributor.author De Buenaga Rodríguez, Manuel
dc.contributor.author Maña López, Manuel J.
dc.contributor.author Gachet Páez, Diego
dc.contributor.author Mata López, Jacinto
dc.contributor.other Gonzalo, Julio
dc.contributor.other Thanos, Costantino
dc.contributor.other Verdejo, M. Felisa
dc.contributor.other Carrasco, Rafael C.
dc.date.accessioned 2016-07-27T18:01:06Z
dc.date.available 2016-07-27T18:01:06Z
dc.date.issued 2006
dc.identifier.citation 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 J. Gonzalo, C. Thanos, M. F. Verdejo & R. Carrasco (Eds.), Research and Advanced Technology for Digital Libraries (pp. 548-551). Berlin: Springer. spa
dc.identifier.isbn 9783540446361
dc.identifier.isbn 9783540446385
dc.identifier.issn 03029743
dc.identifier.uri http://hdl.handle.net/11268/5497
dc.description.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. spa
dc.description.sponsorship SIN FINANCIACIÓN spa
dc.language.iso eng spa
dc.publisher Springer spa
dc.title The SINAMED and ISIS projects: Applying text mining techniques to improve access to a medical digital library spa
dc.type conferenceObject spa
dc.description.impact 0.292 SJR (2006) Q2, 79/200 Computer science (miscellaneous); Q4, 77/115 Theoretical computer science spa
dc.identifier.doi 10.1007/11863878_65
dc.rights.accessRights closedAccess en
dc.subject.uem Lingüística spa
dc.subject.uem Recuperación de la información spa
dc.subject.unesco Informática spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa


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