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ETDs @PUC-Rio
Estatística
Título: ENLIDA: ENRICHMENT OF LINKED DATA CUBE DESCRIPTIONS
Autor: XIMENA ALEXANDRA CABRERA TAPIA
Colaborador(es): MARCO ANTONIO CASANOVA - Orientador
Catalogação: 12/JAN/2015 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=23868&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=23868&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.23868
Resumo:
The term Linked Data refers to a set of RDF triples organized according to certain principles that facilitate the publishing and consumption of data using the Web infrastructure. The importance of the Linked Data principles stems from the fact that they offer a way to minimize the interoperability problem between databases exposed on the Web. This dissertation proposes to enrich a database that contains Linked Data cube descriptions by interconnecting the components of the data cubes with entities defined in external data sources, using owl:sameAs triples. The dissertation proposes an architecture consisting of two major components, the automatic enriching component and the manual enriching component. The first component automatically generates owl:sameAs triples, while the second component helps the user manually define owl:sameAs triples that the automatic component was not able to uncover. Together, these components therefore facilitate the definition of data cubes according to the Linked Data principles.
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