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A framework for the development of Biomedical Text Mining software tools

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9 Author(s)
Analia Lourenco ; 1BB - Institute for Biotechnology and Bioengineering, Center of Biological Engineering - University of Minho, Campus de Gualtar, 4710-057 Braga - PORTUGAL ; Rafael Carreira ; Sonia Carneiro ; Paulo Maia
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Over the last few years, a growing number of techniques has been successfully proposed to tackle diverse challenges in the biomedical text mining (BioTM) arena. However, the set of available software tools to researchers has not grown in a similar way. This work makes a contribution to close this gap, proposing a framework to ease the development of user-friendly and interoperable applications in this field, based on a set of available modular components. These modules can be connected in diverse ways to create applications that fit distinct user roles. Also, developers of new algorithms have a framework that allows them to easily integrate their implementations with state-of-the-art BioTM software for related tasks.

Published in:

BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on

Date of Conference:

8-10 Oct. 2008