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Contextualizing data warehouses with documents
dc.contributor.author | Pérez Martínez, Juan Manuel | |
dc.contributor.author | Berlanga Llavori, Rafael | |
dc.contributor.author | Aramburu Cabo, María José | |
dc.contributor.author | Pedersen, Torben Bach | |
dc.date.accessioned | 2012-05-28T14:36:35Z | |
dc.date.available | 2012-05-28T14:36:35Z | |
dc.date.issued | 2008 | |
dc.identifier | http://dx.doi.org/10.1016/j.dss.2006.12.005 | |
dc.identifier.citation | Decision Support Systems, 45, 1, p. 77-94 | |
dc.identifier.issn | 1679236 | |
dc.identifier.uri | http://hdl.handle.net/10234/38965 | |
dc.description.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 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. | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.rights.uri | http://rightsstatements.org/vocab/CNE/1.0/ | * |
dc.subject | Information retrieval | |
dc.subject | OLAP | |
dc.subject | Text-rich XML documents | |
dc.title | Contextualizing data warehouses with documents | |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | http://dx.doi.org/10.1016/j.dss.2006.12.005 | |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess |
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LSI_Articles [362]
Articles de publicacions periòdiques escrits per professors del Departament de Llenguatges i Sistemes Informàtics