CONAN: An Integrative System for Biomedical Literature Mining

11 years 5 months ago
CONAN: An Integrative System for Biomedical Literature Mining
The amount of information about the genome, transcriptome and proteome, forms a problem for the scientific community: how to find the right information in a reasonable amount of time. Most research aiming to solve this problem, however, concentrate on a certain organism or a very limited dataset. Complementary to those algorithms, we developed CONAN, a system which provides a full-scale approach, tailored to experimentalists, designed to combine several information extraction methods and connect the outcome of these methods to gather novel information. Its methods include tagging of gene/protein names, finding interaction and mutation data, tagging of biological concepts, linking to MeSH and Gene Ontology terms, which can all be found back by querying the system. We present a full-scale approach that will ultimately cover all of PubMed/MEDLINE. We show that this universality has no effect on quality: our system performs as well as existing systems.
Rainer Malik, Arno Siebes
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where EPIA
Authors Rainer Malik, Arno Siebes
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