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A Model for Estimating the Savings from Dimensional vs. Keyword Search
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Author(s): Karen Corral (Boise State University, USA), David Schuff (Temple University, USA), Robert D. St. Louis (Arizona State University, USA)and Ozgur Turetken (Ryerson University, Canada)
Copyright: 2009
Pages: 12
Source title:
Advanced Principles for Improving Database Design, Systems Modeling, and Software Development
Source Author(s)/Editor(s): Keng Siau (City University of Hong Kong, Hong Kong SAR)and John Erickson (University of Nebraska, Omaha, USA)
DOI: 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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