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Summary: On the Design and Evaluation of a Multi-dimensional Approach to Information Retrieval
M. Catherine McCabe
U.S. Government
Washington, DC 20505
catherm @ ir.iit.edu
Jinho Lee, Abdur Chowdhury, David Grossman, Ophir Frieder
Illinois Institute of Technology
Chicago, IL 60616
{jinho, abdur, dagr, ophir} @ ir.iit.edu
Abstract
We present a method of searching text collections that takes
advantage of hierarchrical information within documents and
integrates searches of structured and unstructured data. We
show that Multidimensional databases (MDB), designed for
accessing data along hierarchical dimensions, are effective
for information retrieval. We demonstrate a method of using
On-Line Analytic Processing (OLAP) techniques on a text
collection. This combines traditional information retrieval
and the slicing, dicing, drill-down, and roll-up of OLAP. We
demonstrate use of a prototype for searching documents from
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