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A Model for Estimating the Savings from Dimensional vs. Keyword Search

A Model for Estimating the Savings from Dimensional vs. Keyword Search

Karen Corral, David Schuff, Robert D. St. Louis, Ozgur Turetken
Copyright: © 2009 |Pages: 12
ISBN13: 9781605661728|ISBN10: 1605661724|ISBN13 Softcover: 9781616926038|EISBN13: 9781605661735
DOI: 10.4018/978-1-60566-172-8.ch009
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MLA

Corral, Karen, et al. "A Model for Estimating the Savings from Dimensional vs. Keyword Search." Advanced Principles for Improving Database Design, Systems Modeling, and Software Development, edited by Keng Siau and John Erickson, IGI Global, 2009, pp. 146-157. https://doi.org/10.4018/978-1-60566-172-8.ch009

APA

Corral, K., Schuff, D., St. Louis, R. D., & Turetken, O. (2009). A Model for Estimating the Savings from Dimensional vs. Keyword Search. In K. Siau & J. Erickson (Eds.), Advanced Principles for Improving Database Design, Systems Modeling, and Software Development (pp. 146-157). IGI Global. https://doi.org/10.4018/978-1-60566-172-8.ch009

Chicago

Corral, Karen, et al. "A Model for Estimating the Savings from Dimensional vs. Keyword Search." In Advanced Principles for Improving Database Design, Systems Modeling, and Software Development, edited by Keng Siau and John Erickson, 146-157. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-172-8.ch009

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Abstract

Inefficient and ineffective search is widely recognized as a problem for businesses. The shortcomings of keyword searches have been elaborated upon by many authors, and many enhancements to keyword searches have been proposed. To date, however, no one has provided a quantitative model or systematic process for evaluating the savings that accrue from enhanced search procedures. This paper presents a model for estimating the total cost to a company of relying on keyword searches versus a dimensional search approach. The model is based on the Zipf-Mandelbrot law in quantitative linguistics. Our analysis of the model shows that a surprisingly small number of searches are required to justify the cost associated with encoding the metadata necessary to support a dimensional search engine. The results imply that it is cost effective for almost any business organization to implement a dimensional search strategy.

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