Contextualizing data warehouses with documents

被引：22

作者：

Perez-Martinez, Juan Manuel ^{[1
]}

Berlanga-Llavori, Rafael ^{[1
]}

Aramburu-Cabo, Maria Jose ^{[1
]}

Pedersen, Torben Bach ^{[2
]}

机构：

[1] Jaume I Univ, Castellon de La Plana, Spain

[2] Aalborg Univ, Aalborg, Denmark

来源：

DECISION SUPPORT SYSTEMS | 2008年 / 45卷 / 01期

关键词：

OLAP; text-rich XML documents; information retrieval;

D O I：

10.1016/j.dss.2006.12.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：77 / 94

页数：18