New Article: “Text Mining Resources for the Life Sciences”

The following full text article (open access) was recently published in Database: The Journal of Biological Databases and Curation.
Title
Text Mining Resources for the Life Sciences
Authors
Piotr Przybyła
University of Manchester

Matthew Shardlow
University of Manchester (UK)

Sophie Aubin
Institut National de la Recherche Agronomique (France)

Robert Bossy
Institut National de la Recherche Agronomique (France)

Richard Eckart de Castilho
Technische Universität Darmstadt (Germany)

Stelios Piperidis
Athena Research Center (Greece)

John McNaught
University of Manchester (UK)

Sophia Ananiadou
University of Manchester (UK)
Source
Database: The Journal of Biological Databases and Curation
2016: baw145doi: 10.1093/database/baw145
Abstract

Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources.
In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work.
We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools.
We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability.

Direct to Full Text Article ||| PDF Version (30 pages)

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