You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/32332
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGuilherme, Ivan Rizzo-
dc.contributor.authorde Souza Serapiao, Adriane Beatriz-
dc.contributor.authorRabelo, Clarice-
dc.contributor.authorPelaquim Mendes, Jose Ricardo-
dc.contributor.authorGelbukh, A.-
dc.contributor.authorReyesGarcia, C. A.-
dc.date.accessioned2014-05-20T15:21:09Z-
dc.date.accessioned2016-10-25T17:54:29Z-
dc.date.available2014-05-20T15:21:09Z-
dc.date.available2016-10-25T17:54:29Z-
dc.date.issued2006-01-01-
dc.identifierhttp://dx.doi.org/10.1007/11925231_99-
dc.identifier.citationMicai 2006: Advances In Artificial Intelligence, Proceedings. Berlin: Springer-verlag Berlin, v. 4293, p. 1037-1046, 2006.-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/11449/32332-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/32332-
dc.description.abstractThis 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.format.extent1037-1046-
dc.language.isoeng-
dc.publisherSpringer-
dc.sourceWeb of Science-
dc.titleAn ontology based for drilling report classificationen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSão Paulo State Univ, IGCE, DEMAC, BR-13506700 Rio Claro, Brazil-
dc.description.affiliationUnespSão Paulo State Univ, IGCE, DEMAC, BR-13506700 Rio Claro, Brazil-
dc.identifier.doi10.1007/11925231_99-
dc.identifier.wosWOS:000244587700099-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofMicai 2006: Advances In Artificial Intelligence, Proceedings-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.