Enabling Global Price Comparison through Semantic Integration of Web Data
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Author(s) • •
Zhu, Hongwei
Siegel, Michael
Madnick, Stuart
Date Issued
January 11, 2008
Series/Report no.
MIT Sloan School of Management Working Paper
4673-07
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.
Subjects
Global Price Comparison
Shopbots
Context
Semantic Data Integration
Semantic Heterogeneity
Persistent DSpace Link