Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/32581

TitleApplying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain
Author(s)Santos, André Fernandes
Nogueira, R.
Lourenço, Anália
KeywordsText mining
Biotechnology applications
Procedure optimization
Issue date2012
PublisherUniversidad de Salamanca
JournalADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
CitationSantos, A.F.; Nogueira, R.; Lourenço, A. Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain Advances in Distributed Computing and Artificial Intelligence Journal 1(1 (Special Issue #1)) 1-8, 2012.
Abstract(s)Scientific publications are the main vehicle to disseminate information in the field of biotechnology for wastewater treatment. Indeed, the new research paradigms and the application of high-throughput technologies have increased the rate of publication considerably. The problem is that manual curation becomes harder, prone-to-errors and time-consuming, leading to a probable loss of information and inefficient knowledge acquisition. As a result, research outputs are hardly reaching engineers, hampering the calibration of mathematical models used to optimize the stability and performance of biotechnological systems. In this context, we have developed a data curation workflow, based on text mining techniques, to extract numerical parameters from scientific literature, and applied it to the biotechnology domain. A workflow was built to process wastewater-related articles with the main goal of identifying physico-chemical parameters mentioned in the text. This work describes the implementation of the workflow, identifies achievements and current limitations in the overall process, and presents the results obtained for a corpus of 50 full-text documents.
TypeArticle
URIhttp://hdl.handle.net/1822/32581
DOI10.14201/ADCAIJ20121118
ISSN2255-2863
e-ISSN2255-2863
Publisher versionhttp://adcaij.usal.es/
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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