Strategies for Document Management

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Author(s): Karen Corral (Boise State University, USA), David Schuff (Temple University, USA), Gregory Schymik (Arizona State University, USA)and Robert St. Louis (Arizona State University, USA)
Copyright: 2012
Pages: 19
Source title: Organizational Applications of Business Intelligence Management: Emerging Trends
Source Author(s)/Editor(s): Richard T. Herschel (Saint Joseph’s University, USA)
DOI: 10.4018/978-1-4666-0279-3.ch007

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

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Abstract

Keyword search has failed to adequately meet the needs of enterprise users. This is largely due to the size of document stores, the distribution of word frequencies, and the indeterminate nature of languages. The authors argue a different approach needs to be taken, and draw on the successes of dimensional data modeling and subject indexing to propose a solution. They test our solution by performing search queries on a large research database. By incorporating readily available subject indexes into the search process, they obtain order of magnitude improvements in the performance of search queries. Their performance measure is the ratio of the number of documents returned without using subject indexes to the number of documents returned when subject indexes are used. The authors explain why the observed tenfold improvement in search performance on our research database can be expected to occur for searches on a wide variety of enterprise document stores.

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