Ontologies to coordinate multiple views: Exploring document collections

Detalhes bibliográficos
Autor(a) principal: Prates, Jorge Marques [UNESP]
Data de Publicação: 2014
Outros Autores: Garcia, Rogério Eduardo [UNESP], Eler, Danilo Medeiros [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/189373
Resumo: Multiple views of data sets can provide assistance on discovering unforeseen associations among elements contained on these sets. Thus, users are able to explore data in distinct perspectives. Ontologies are formal representations which describe data relations explicitly. Representing the underlying data into ontology, the exploratory visualization can benefit from a semantic representation to create the mappings, and might be helpful to establish relations on multiple views. In this way, we propose the application of ontology to support the mapping in the coordination process, defining how the data elements are related. Also, we present two case studies applying ontologies on exploring text collections. After these presentation, the results are compared with traditional coordination techniques.
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spelling Ontologies to coordinate multiple views: Exploring document collectionsCoordinatedKnowledge representationMultiple viewsOntologySemantic mappingMultiple views of data sets can provide assistance on discovering unforeseen associations among elements contained on these sets. Thus, users are able to explore data in distinct perspectives. Ontologies are formal representations which describe data relations explicitly. Representing the underlying data into ontology, the exploratory visualization can benefit from a semantic representation to create the mappings, and might be helpful to establish relations on multiple views. In this way, we propose the application of ontology to support the mapping in the coordination process, defining how the data elements are related. Also, we present two case studies applying ontologies on exploring text collections. After these presentation, the results are compared with traditional coordination techniques.Departamento de Matemática e Computação Faculdade de Ciências e Tecnologia UNESP Universidade Estadual Paulista “Júlio de Mesquita Filho”Departamento de Matemática e Computação Faculdade de Ciências e Tecnologia UNESP Universidade Estadual Paulista “Júlio de Mesquita Filho”Universidade Estadual Paulista (Unesp)Prates, Jorge Marques [UNESP]Garcia, Rogério Eduardo [UNESP]Eler, Danilo Medeiros [UNESP]2019-10-06T16:38:31Z2019-10-06T16:38:31Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject288-293Proceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014, p. 288-293.http://hdl.handle.net/11449/1893732-s2.0-8506850820880310125732593610000-0003-1248-528XScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014info:eu-repo/semantics/openAccess2024-06-19T14:32:17Zoai:repositorio.unesp.br:11449/189373Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:59:09.772598Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Ontologies to coordinate multiple views: Exploring document collections
title Ontologies to coordinate multiple views: Exploring document collections
spellingShingle Ontologies to coordinate multiple views: Exploring document collections
Prates, Jorge Marques [UNESP]
Coordinated
Knowledge representation
Multiple views
Ontology
Semantic mapping
title_short Ontologies to coordinate multiple views: Exploring document collections
title_full Ontologies to coordinate multiple views: Exploring document collections
title_fullStr Ontologies to coordinate multiple views: Exploring document collections
title_full_unstemmed Ontologies to coordinate multiple views: Exploring document collections
title_sort Ontologies to coordinate multiple views: Exploring document collections
author Prates, Jorge Marques [UNESP]
author_facet Prates, Jorge Marques [UNESP]
Garcia, Rogério Eduardo [UNESP]
Eler, Danilo Medeiros [UNESP]
author_role author
author2 Garcia, Rogério Eduardo [UNESP]
Eler, Danilo Medeiros [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Prates, Jorge Marques [UNESP]
Garcia, Rogério Eduardo [UNESP]
Eler, Danilo Medeiros [UNESP]
dc.subject.por.fl_str_mv Coordinated
Knowledge representation
Multiple views
Ontology
Semantic mapping
topic Coordinated
Knowledge representation
Multiple views
Ontology
Semantic mapping
description Multiple views of data sets can provide assistance on discovering unforeseen associations among elements contained on these sets. Thus, users are able to explore data in distinct perspectives. Ontologies are formal representations which describe data relations explicitly. Representing the underlying data into ontology, the exploratory visualization can benefit from a semantic representation to create the mappings, and might be helpful to establish relations on multiple views. In this way, we propose the application of ontology to support the mapping in the coordination process, defining how the data elements are related. Also, we present two case studies applying ontologies on exploring text collections. After these presentation, the results are compared with traditional coordination techniques.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2019-10-06T16:38:31Z
2019-10-06T16:38:31Z
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 Proceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014, p. 288-293.
http://hdl.handle.net/11449/189373
2-s2.0-85068508208
8031012573259361
0000-0003-1248-528X
identifier_str_mv Proceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014, p. 288-293.
2-s2.0-85068508208
8031012573259361
0000-0003-1248-528X
url http://hdl.handle.net/11449/189373
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 288-293
dc.source.none.fl_str_mv Scopus
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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