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The International Conference on Information Technology: Coding and Computing (ITCC'00)
Integrating Structured Data and Text: A Multi-Dimensional Approach
Las Vegas, Nevada
March 27-March 29
ISBN: 0-7695-0540-6
Jinho Lee, Illinois Institute of Technology
David Grossman, Illinois Institute of Technology
Ophir Frieder, Illinois Institute of Technology
M. Catherine McCabe, U.S. Government
Multidimensional databases are used for Online Analytic Processing (OLAP) applications with great success. We introduce a method of using OLAP techniques on a text collection - combining text searching and ranking techniques from information retrieval and the slicing, dicing, and drill-down from OLAP. Our approach integrates structured and unstructured data and takes advantage of the data hierarchies found in the structured data. We describe a prototype where standard multi-dimensional database tools are used to implement typical Information Retrieval functionality such as Boolean retrieval and relevance ranking.
Citation:
Jinho Lee, David Grossman, Ophir Frieder, M. Catherine McCabe, "Integrating Structured Data and Text: A Multi-Dimensional Approach," itcc, pp.264, The International Conference on Information Technology: Coding and Computing (ITCC'00), 2000
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