Strategies for Document Management

Karen Corral, David Schuff, Gregory Schymik and Robert St. Louis
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Karen Corral: Boise State University, USA
David Schuff: Temple University, USA
Gregory Schymik: Arizona State University, USA
Robert St. Louis: Arizona State University, USA

International Journal of Business Intelligence Research (IJBIR), 2010, vol. 1, issue 1, 64-83

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.

Date: 2010
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