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Towards an Automated Analysis of Biomedical Abstracts
Högskolan i Skövde, Institutionen för kommunikation och information.
Högskolan i Skövde, Institutionen för kommunikation och information.
Högskolan i Skövde, Institutionen för kommunikation och information.
2006 (engelsk)Inngår i: Data Integration in the Life Sciences: Third International Workshop, DILS 2006, Springer, 2006, s. 50-65Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

An essential part of bioinformatic research concerns the iterative process of validating hypotheses by analyzing facts stored in databases and in published literature. This process can be enhanced by language technology methods, in particular by automatic text understanding. Since it is becoming increasingly difficult to keep up with the vast number of scientific articles being published, there is a need for more easily accessible representations of the current knowledge. The goal of the research described in this paper is to develop a system aimed to support the large-scale research on metabolic and regulatory pathways by extracting relations between biological objects from descriptions found in literature. We present and evaluate the procedures for semantico-syntactic tagging, dividing the text into parts concerning previous research and current research, syntactic parsing, and transformation of syntactic trees into logical representations similar to the pathway graphs utilized in the Kyoto Encyclopaedia of Genes and Genomes.

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Springer, 2006. s. 50-65
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Lecture Notes in Computer Science, ISSN 0302-9743 ; 4075
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URN: urn:nbn:se:his:diva-1917DOI: 10.1007/11799511_6ISI: 000239622300004Scopus ID: 2-s2.0-33746718080ISBN: 978-3-540-36593-8 OAI: oai:DiVA.org:his-1917DiVA, id: diva2:32193
Tilgjengelig fra: 2007-09-21 Laget: 2007-09-21 Sist oppdatert: 2017-11-27bibliografisk kontrollert

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Gawronska, BarbaraOlsson, BjörnErlendsson, Björn

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