To promote interactions between the biocuration and text-mining communities, an interactive text-mining track (hereafter, 'Track III') was held in the BioCreative (Critical Assessment of Information Extraction systems in Biology) 2012 workshop (13).
A major goal of BioCreative has been to bring together the biocuration community and the text mining community to stimulate discussion between the curators the end users of new information extraction and text-mining tools and the developers of those tools, who need to become familiar with the needs and workflows of the biocurators.
BioCreative-2012 took the next step in this process, bringing together the biocuration and text mining communities to develop and evaluate interactive text mining tools and systems and improve utility and usability in the biocuration workflow.
The BioCreative Interactive task (IAT) is a track designed for exploring user system interactions, promoting development of useful text-mining tools and providing a communication channel for biocuration and text-mining communities (20, 21).
We have added the MGRast data to illustrate the homogeneity obtained for the largest pools of contigs, and described it in the following text: "Each community was analyzed using MG-RAST (Glass et al., 2010), showing relatively homogeneous taxonomic compositions in most communities.
Close readings of the performances or public personae of stars or characters of color, or of specific media texts about communities of color.
His book Where There Is No Psychiatrist: A mental health care manual has become the definitive text for community health workers in developing countries.
Thesauruses, taxonomies, ontologies, and semantic networks are knowledge sources that are commonly used by the text mining community.
The mapping reported in this paper was conducted with the general goal of providing an overview of the researches developed by the text mining community and that are concerned about text semantics.
The "Method applied for systematic mapping" section presents an overview of systematic mapping method, since this is the type of literature review selected to develop this study and it is not widespread in the text mining community.
