Contextualizing data warehouses with documents
Impacto
Scholar |
Otros documentos de la autoría: Pérez Martínez, Juan Manuel; Berlanga Llavori, Rafael; Aramburu Cabo, María José; Pedersen, Torben Bach
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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http://dx.doi.org/10.1016/j.dss.2006.12.005 |
Metadatos
Título
Contextualizing data warehouses with documentsAutoría
Fecha de publicación
2008Editor
ElsevierISSN
1679236Cita bibliográfica
Decision Support Systems, 45, 1, p. 77-94Tipo de documento
info:eu-repo/semantics/articlePalabras clave / Materias
Resumen
Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich ... [+]
Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, the user first selects an analysis context by supplying some keywords. Then, the analysis is performed on a novel type of OLAP cube, called an R-cube, which is materialized by retrieving and ranking the documents and corporate facts related to the selected context. © 2006 Elsevier B.V. All rights reserved. [-]
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info:eu-repo/semantics/restrictedAccess
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