Towards Semi-automatic Generation of R2R Mappings

Detalhes bibliográficos
Autor(a) principal: Pequeno, Valéria
Data de Publicação: 2018
Outros Autores: Vidal, Vânia M. P., Vinuto, Tiago
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11144/3689
Resumo: Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping patterns
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spelling Towards Semi-automatic Generation of R2R MappingsMapping PatternsRDF-to-RDF MappingR2R MappingMapping AssertionRDF ModelOntologiesTranslating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping patternsSciTePress2018-04-13T10:05:45Z2018-04-01T00:00:00Z2018-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3689eng978-989-758-298-110.5220/0006801602370244Pequeno, ValériaVidal, Vânia M. P.Vinuto, Tiagoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-11T02:20:00Zoai:repositorio.ual.pt:11144/3689Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:33:55.395845Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Towards Semi-automatic Generation of R2R Mappings
title Towards Semi-automatic Generation of R2R Mappings
spellingShingle Towards Semi-automatic Generation of R2R Mappings
Pequeno, Valéria
Mapping Patterns
RDF-to-RDF Mapping
R2R Mapping
Mapping Assertion
RDF Model
Ontologies
title_short Towards Semi-automatic Generation of R2R Mappings
title_full Towards Semi-automatic Generation of R2R Mappings
title_fullStr Towards Semi-automatic Generation of R2R Mappings
title_full_unstemmed Towards Semi-automatic Generation of R2R Mappings
title_sort Towards Semi-automatic Generation of R2R Mappings
author Pequeno, Valéria
author_facet Pequeno, Valéria
Vidal, Vânia M. P.
Vinuto, Tiago
author_role author
author2 Vidal, Vânia M. P.
Vinuto, Tiago
author2_role author
author
dc.contributor.author.fl_str_mv Pequeno, Valéria
Vidal, Vânia M. P.
Vinuto, Tiago
dc.subject.por.fl_str_mv Mapping Patterns
RDF-to-RDF Mapping
R2R Mapping
Mapping Assertion
RDF Model
Ontologies
topic Mapping Patterns
RDF-to-RDF Mapping
R2R Mapping
Mapping Assertion
RDF Model
Ontologies
description Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping patterns
publishDate 2018
dc.date.none.fl_str_mv 2018-04-13T10:05:45Z
2018-04-01T00:00:00Z
2018-04
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/11144/3689
url http://hdl.handle.net/11144/3689
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-989-758-298-1
10.5220/0006801602370244
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dc.publisher.none.fl_str_mv SciTePress
publisher.none.fl_str_mv SciTePress
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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