Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/32581
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Santos, André Fernandes | por |
dc.contributor.author | Nogueira, R. | por |
dc.contributor.author | Lourenço, Anália | por |
dc.date.accessioned | 2015-01-08T16:32:24Z | - |
dc.date.available | 2015-01-08T16:32:24Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | 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. | - |
dc.identifier.issn | 2255-2863 | por |
dc.identifier.uri | https://hdl.handle.net/1822/32581 | - |
dc.description.abstract | 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. | por |
dc.language.iso | eng | por |
dc.publisher | Universidad de Salamanca | por |
dc.rights | openAccess | por |
dc.subject | Text mining | por |
dc.subject | Biotechnology applications | por |
dc.subject | Procedure optimization | por |
dc.title | Applying a text mining framework to the extraction of numerical parameters from scientific literature in the biotechnology domain | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://adcaij.usal.es/ | por |
dc.comments | CEB19610 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 8 | por |
oaire.citationIssue | 1 (Special Issue #1) | por |
oaire.citationTitle | Advances in Distributed Computing and Artificial Intelligence Journal | por |
oaire.citationVolume | 1 | por |
dc.date.updated | 2014-12-29T19:57:15Z | - |
dc.identifier.eissn | 2255-2863 | - |
dc.identifier.doi | 10.14201/ADCAIJ20121118 | - |
dc.subject.wos | Science & Technology | por |
sdum.journal | ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal | por |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_19610_1.pdf | 3,15 MB | Adobe PDF | Ver/Abrir |