整合结构化数据和文本:一种多维方法

Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540) Pub Date : 2000-03-27 DOI:10.1109/ITCC.2000.844234

Jinho Lee, D. Grossman, O. Frieder, M. C. McCabe

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引用次数: 22

摘要

多维数据库用于在线分析处理(OLAP)应用程序取得了巨大成功。我们介绍了一种在文本集合上使用OLAP技术的方法:将来自信息检索的文本搜索和排序技术与来自OLAP的切片、切块和钻取相结合。我们的方法集成了结构化和非结构化数据，并利用了结构化数据中的数据层次结构。我们描述了一个原型，其中使用标准多维数据库工具来实现典型的信息检索功能，如布尔检索和相关性排序。

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Integrating structured data and text: a multi-dimensional approach

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 multidimensional database tools are used to implement typical information retrieval functionality such as Boolean retrieval and relevance ranking.

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来源期刊

Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)

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