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Semantic Software Lab
Concordia University
Montréal, Canada

Text Mining

Ontology Design for Biomedical Text Mining

Baker, C. J. O., and K. - H. Cheung (Eds.), Witte, R., T. Kappler, and C. J. O. Baker, "Ontology Design for Biomedical Text Mining", Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences, New York, NY, USA, Springer Science+Business Media, pp. 281–313, 2007.

Running MutationFinder in GATE using the TaggerFramework PR

MutationFinder is a freely available resource for tagging mutations in biomedical texts. However, it cannot be directly integrated into a text mining pipeline when using the General Architecture for Text Engineering (GATE) framework. Here, I show how to make it available to GATE users using the standard TaggerFramework component, which requires some text wrangling.

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