Integrating Structured Data and Text: A Multi-Dimensional Approach

  • Authors:
  • Jinho Lee;David Grossman;Ophir Frieder;M. Catherine McCabe

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
  • Year:
  • 2000

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Abstract

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.