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Enabling Global Price Comparison through Semantic Integration of Web Data

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Title: Enabling Global Price Comparison through Semantic Integration of Web Data
Author: Zhu, Hongwei; Siegel, Michael; Madnick, Stuart
Issue Date: 2008-01-11
Abstract: “Sell Globally” and “Shop Globally” have been seen as a potential benefit of web-enabled electronic business. One important step toward realizing this benefit is to know how things are selling in various parts of the world. A global price comparison service would address this need. But there have not been many such services. In this paper, we use a case study of global price dispersion to illustrate the need and the value of a global price comparison service. Then we identify and discuss several technology challenges, including semantic heterogeneity, in providing a global price comparison service. We propose a mediation architecture to address the semantic heterogeneity problem, and demonstrate the feasibility of the proposed architecture by implementing a prototype that enables global price comparison using data from web sources in several countries.
URI: http://hdl.handle.net/1721.1/40084
Series/Report no.: MIT Sloan School of Management Working Paper, 4673-07
Keywords: Global Price Comparison, Shopbots, Context, Semantic Data Integration, Semantic Heterogeneity

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