Publicação: An ontology based for drilling report classification
dc.contributor.author | Guilherme, Ivan Rizzo | |
dc.contributor.author | de Souza Serapiao, Adriane Beatriz | |
dc.contributor.author | Rabelo, Clarice | |
dc.contributor.author | Pelaquim Mendes, Jose Ricardo | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-20T15:21:09Z | |
dc.date.available | 2014-05-20T15:21:09Z | |
dc.date.issued | 2006-01-01 | |
dc.description.abstract | 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. | en |
dc.description.affiliation | São Paulo State Univ, IGCE, DEMAC, BR-13506700 Rio Claro, Brazil | |
dc.description.affiliationUnesp | São Paulo State Univ, IGCE, DEMAC, BR-13506700 Rio Claro, Brazil | |
dc.format.extent | 1037-1046 | |
dc.identifier | http://dx.doi.org/10.1007/11925231_99 | |
dc.identifier.citation | Micai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006. | |
dc.identifier.doi | 10.1007/11925231_99 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.lattes | 0140365057016044 | |
dc.identifier.uri | http://hdl.handle.net/11449/32332 | |
dc.identifier.wos | WOS:000244587700099 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Micai 2006: Advances In Artificial Intelligence, Proceedings | |
dc.relation.ispartofsjr | 0,295 | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Web of Science | |
dc.title | An ontology based for drilling report classification | en |
dc.type | Trabalho apresentado em evento | |
dcterms.license | http://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0 | |
dcterms.rightsHolder | Springer | |
dspace.entity.type | Publication | |
unesp.author.lattes | 0140365057016044 | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claro | pt |
unesp.department | Estatística, Matemática Aplicada e Computação - IGCE | pt |
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