Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/32581 |
Resumo: | 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. |
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Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domainText miningBiotechnology applicationsProcedure optimizationScience & TechnologyScientific 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.Universidad de SalamancaUniversidade do MinhoSantos, André FernandesNogueira, R.Lourenço, Anália20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/32581engSantos, 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, 2012.2255-28632255-286310.14201/ADCAIJ20121118http://adcaij.usal.es/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:47:14Zoai:repositorium.sdum.uminho.pt:1822/32581Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:45:20.292080Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
title |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
spellingShingle |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain Santos, André Fernandes Text mining Biotechnology applications Procedure optimization Science & Technology |
title_short |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
title_full |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
title_fullStr |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
title_full_unstemmed |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
title_sort |
Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain |
author |
Santos, André Fernandes |
author_facet |
Santos, André Fernandes Nogueira, R. Lourenço, Anália |
author_role |
author |
author2 |
Nogueira, R. Lourenço, Anália |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Santos, André Fernandes Nogueira, R. Lourenço, Anália |
dc.subject.por.fl_str_mv |
Text mining Biotechnology applications Procedure optimization Science & Technology |
topic |
Text mining Biotechnology applications Procedure optimization Science & Technology |
description |
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. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/32581 |
url |
http://hdl.handle.net/1822/32581 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Santos, 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. 2255-2863 2255-2863 10.14201/ADCAIJ20121118 http://adcaij.usal.es/ |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad de Salamanca |
publisher.none.fl_str_mv |
Universidad de Salamanca |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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