Contextualizing data warehouses with documents

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 wareh...

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Bibliographic Details
Published in:Decision Support Systems 2008-04, Vol.45 (1), p.77-94
Main Authors: Manuel Pérez-Martínez, Juan, Berlanga-Llavori, Rafael, Aramburu-Cabo, María José, Pedersen, Torben Bach
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Data analysis
Data processing. List processing. Character string processing
Data warehouses
Documents
Exact sciences and technology
Information retrieval
Information systems. Data bases
Memory organisation. Data processing
OLAP
Online analytical processing
Software
Studies
Text-rich XML documents
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Summary: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.
ISSN:0167-9236
1873-5797
DOI:10.1016/j.dss.2006.12.005