Using Semantic Web technologies in the development of data warehouses: A systematic mapping
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Título: | Using Semantic Web technologies in the development of data warehouses: A systematic mapping |
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Autor/es: | Gacitua, Ricardo | Mazón, Jose-Norberto | Cravero Leal, Ania |
Grupo/s de investigación o GITE: | Web and Knowledge (WaKe) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Data warehouses | Semantic Web | Systematic mapping |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2019 |
Editor: | Wiley Periodicals |
Cita bibliográfica: | Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2019, 9(3): e1293. doi:10.1002/widm.1293 |
Resumen: | The exploration and use of Semantic Web technologies have attracted considerable attention from researchers examining data warehouse (DW) development. However, the impact of this research and the maturity level of its results are still unclear. The objective of this study is to examine recently published research articles that take into account the use of Semantic Web technologies in the DW arena with the intention of summarizing their results, classifying their contributions to the field according to publication type, evaluating the maturity level of the results, and identifying future research challenges. Three main conclusions were derived from this study: (a) there is a major technological gap that inhibits the wide adoption of Semantic Web technologies in the business domain;(b) there is limited evidence that the results of the analyzed studies are applicable and transferable to industrial use; and (c) interest in researching the relationship between DWs and Semantic Web has decreased because new paradigms, such as linked open data, have attracted the interest of researchers. |
Patrocinador/es: | This study was supported by the Universidad de La Frontera, Chile, PROY. DI15-0020. Universidad de la Frontera, Chile, Grant Numbers: DI15-0020 and DI17-0043. |
URI: | http://hdl.handle.net/10045/91334 |
ISSN: | 1942-4787 (Print) | 1942-4795 (Online) |
DOI: | 10.1002/widm.1293 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2018 Wiley Periodicals, Inc. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1002/widm.1293 |
Aparece en las colecciones: | INV - WaKe - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2019_Gacitua_etal_WIREsDataMiningKnowlDiscov_final.pdf | Versión final (acceso restringido) | 3,24 MB | Adobe PDF | Abrir Solicitar una copia |
2019_Gacitua_etal_WIREsDataMiningKnowlDiscov_revised.pdf | Versión revisada (acceso abierto) | 893,4 kB | Adobe PDF | Abrir Vista previa |
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