Contextualizing data warehouses with documents
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Other documents of the author: Pérez Martínez, Juan Manuel; Berlanga Llavori, Rafael; Aramburu Cabo, María José; Pedersen, Torben Bach
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Show full item recordcomunitat-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 |
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Title
Contextualizing data warehouses with documentsAuthor (s)
Date
2008Publisher
ElsevierISSN
1679236Bibliographic citation
Decision Support Systems, 45, 1, p. 77-94Type
info:eu-repo/semantics/articleSubject
Abstract
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
info:eu-repo/semantics/restrictedAccess
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- LSI_Articles [366]