Title
The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library
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.
Year
DOI
Venue
2006
10.1007/11863878_65
ECDL
Keywords
Field
DocType
text mining,digital library
Information system,Automatic summarization,Content analysis,World Wide Web,Text mining,Computer science,Information access,Digital library,Documentation,Software development
Conference
Volume
ISSN
ISBN
4172
0302-9743
3-540-44636-2
Citations 
PageRank 
References 
2
0.42
4
Authors
4
Name
Order
Citations
PageRank
Manuel De Buenaga Rodríguez16716.59
Manuel Maña López210614.57
Diego Gachet3286.28
Jacinto Mata4132.01