An ontology based for drilling report classification

Detalhes bibliográficos
Autor(a) principal: Guilherme, Ivan Rizzo
Data de Publicação: 2006
Outros Autores: de Souza Serapiao, Adriane Beatriz, Rabelo, Clarice, Pelaquim Mendes, Jose Ricardo
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/11925231_99
http://hdl.handle.net/11449/32332
Resumo: This paper presents an application of an ontology based system for automated text analysis using a sample of a drilling report to demonstrate how the methodology works. The methodology used here consists basically of organizing the knowledge related to the drilling process by elaborating the ontology of some typical problems. The whole process was carried out with the assistance of a drilling expert, and by also using software to collect the knowledge from the texts. Finally, a sample of drilling reports was used to test the system, evaluating its performance on automated text classification.
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spelling An ontology based for drilling report classificationThis paper presents an application of an ontology based system for automated text analysis using a sample of a drilling report to demonstrate how the methodology works. The methodology used here consists basically of organizing the knowledge related to the drilling process by elaborating the ontology of some typical problems. The whole process was carried out with the assistance of a drilling expert, and by also using software to collect the knowledge from the texts. Finally, a sample of drilling reports was used to test the system, evaluating its performance on automated text classification.São Paulo State Univ, IGCE, DEMAC, BR-13506700 Rio Claro, BrazilSão Paulo State Univ, IGCE, DEMAC, BR-13506700 Rio Claro, BrazilSpringerUniversidade Estadual Paulista (Unesp)Guilherme, Ivan Rizzode Souza Serapiao, Adriane BeatrizRabelo, ClaricePelaquim Mendes, Jose Ricardo2014-05-20T15:21:09Z2014-05-20T15:21:09Z2006-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1037-1046http://dx.doi.org/10.1007/11925231_99Micai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006.0302-9743http://hdl.handle.net/11449/3233210.1007/11925231_99WOS:0002445877000990140365057016044Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMicai 2006: Advances In Artificial Intelligence, Proceedings0,295info:eu-repo/semantics/openAccess2021-10-23T21:44:14Zoai:repositorio.unesp.br:11449/32332Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:44:02.515649Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An ontology based for drilling report classification
title An ontology based for drilling report classification
spellingShingle An ontology based for drilling report classification
Guilherme, Ivan Rizzo
title_short An ontology based for drilling report classification
title_full An ontology based for drilling report classification
title_fullStr An ontology based for drilling report classification
title_full_unstemmed An ontology based for drilling report classification
title_sort An ontology based for drilling report classification
author Guilherme, Ivan Rizzo
author_facet Guilherme, Ivan Rizzo
de Souza Serapiao, Adriane Beatriz
Rabelo, Clarice
Pelaquim Mendes, Jose Ricardo
author_role author
author2 de Souza Serapiao, Adriane Beatriz
Rabelo, Clarice
Pelaquim Mendes, Jose Ricardo
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Guilherme, Ivan Rizzo
de Souza Serapiao, Adriane Beatriz
Rabelo, Clarice
Pelaquim Mendes, Jose Ricardo
description This paper presents an application of an ontology based system for automated text analysis using a sample of a drilling report to demonstrate how the methodology works. The methodology used here consists basically of organizing the knowledge related to the drilling process by elaborating the ontology of some typical problems. The whole process was carried out with the assistance of a drilling expert, and by also using software to collect the knowledge from the texts. Finally, a sample of drilling reports was used to test the system, evaluating its performance on automated text classification.
publishDate 2006
dc.date.none.fl_str_mv 2006-01-01
2014-05-20T15:21:09Z
2014-05-20T15:21:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/11925231_99
Micai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006.
0302-9743
http://hdl.handle.net/11449/32332
10.1007/11925231_99
WOS:000244587700099
0140365057016044
url http://dx.doi.org/10.1007/11925231_99
http://hdl.handle.net/11449/32332
identifier_str_mv Micai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006.
0302-9743
10.1007/11925231_99
WOS:000244587700099
0140365057016044
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Micai 2006: Advances In Artificial Intelligence, Proceedings
0,295
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1037-1046
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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