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Towards Semi-automatic Generation of R2R Mappings

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dc.contributor.authorPequeno, Valéria M.
dc.contributor.authorVidal, Vânia M. P.
dc.contributor.authorVinuto, Tiago da Silva
dc.date.accessioned2025-03-28T14:58:14Z
dc.date.available2025-03-28T14:58:14Z
dc.date.issued2018
dc.description.abstractTranslating 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.por
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/57486
dc.language.isoeng
dc.peerreviewedn/a
dc.rights.uriN/A
dc.subjectMapping Patterns
dc.subjectRDF-to-RDF Mapping
dc.subjectR2R Mapping
dc.subjectMapping Assertion
dc.subjectRDF Model
dc.subjectOntologies
dc.titleTowards Semi-automatic Generation of R2R Mappingspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferenceDate2018
oaire.citation.conferencePlaceFunchal, Madeira, Portugal
oaire.citation.titleICEIS 2018: 20th International Conference on Enterprise Information Systems
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
rcaap.typeconferenceObjectpt_PT

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