Work

A framework for the development of Biomedical Text Mining software tools

Year: 2008

Type: conference-paper

Abstract: 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.

Source: IEEE International Conference on Bioinformatics and Bioengineering (BIBE)

DOI: 10.1109/bibe.2008.4696707

Authors: Analia Lourenco, Rafael Carreira, Sonia Carneiro, Paulo Maia, Daniel Glez-Pena, Florentino Fdez-Riverola, Eugenio C. Ferreira, Isabel Rocha, Miguel Rocha

Institutions: Institute for Biotechnology and Bioengineering, University of Minho, Universidade de Vigo

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funder: Universidade do Minho

OpenAlex ID: W1968102155

FWCI: 1.044

Cites: 19

Cited by: 1

Related to: 10