Considering application domain ontologies for data mining

Detalhes bibliográficos
Autor(a) principal: mota pinto, filipe
Data de Publicação: 2009
Outros Autores: Santos, Manuel Filipe
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.8/12877
Resumo: The dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in databases. We analyze how ontologies and knowledge discovery process may interoperate and present our efforts to bridge the two fields, knowledge discovery in databases and ontology learning for successful database usage projects.
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spelling Considering application domain ontologies for data miningOntologiesKnowledge DiscoveryDatabasesData MiningThe dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in databases. We analyze how ontologies and knowledge discovery process may interoperate and present our efforts to bridge the two fields, knowledge discovery in databases and ontology learning for successful database usage projects.World Scientific and Engineering Academy and Society (WSEAS)Repositório IC-Onlinemota pinto, filipeSantos, Manuel Filipe2025-05-14T10:14:49Z2009-092009-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/12877eng1790-0832info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-18T02:31:43Zoai:iconline.ipleiria.pt:10400.8/12877Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:35:10.850310Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Considering application domain ontologies for data mining
title Considering application domain ontologies for data mining
spellingShingle Considering application domain ontologies for data mining
mota pinto, filipe
Ontologies
Knowledge Discovery
Databases
Data Mining
title_short Considering application domain ontologies for data mining
title_full Considering application domain ontologies for data mining
title_fullStr Considering application domain ontologies for data mining
title_full_unstemmed Considering application domain ontologies for data mining
title_sort Considering application domain ontologies for data mining
author mota pinto, filipe
author_facet mota pinto, filipe
Santos, Manuel Filipe
author_role author
author2 Santos, Manuel Filipe
author2_role author
dc.contributor.none.fl_str_mv Repositório IC-Online
dc.contributor.author.fl_str_mv mota pinto, filipe
Santos, Manuel Filipe
dc.subject.por.fl_str_mv Ontologies
Knowledge Discovery
Databases
Data Mining
topic Ontologies
Knowledge Discovery
Databases
Data Mining
description The dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in databases. We analyze how ontologies and knowledge discovery process may interoperate and present our efforts to bridge the two fields, knowledge discovery in databases and ontology learning for successful database usage projects.
publishDate 2009
dc.date.none.fl_str_mv 2009-09
2009-09-01T00:00:00Z
2025-05-14T10:14:49Z
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/10400.8/12877
url http://hdl.handle.net/10400.8/12877
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1790-0832
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 World Scientific and Engineering Academy and Society (WSEAS)
publisher.none.fl_str_mv World Scientific and Engineering Academy and Society (WSEAS)
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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