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A Construction of an Ontology Server based Intelligent Retrieval using XMDR  

Hwang Chi-Gon (고려전문학교)
Jung Gye-Dong (광운대학교)
Abstract
As Internet and network technologies have been developed, e-commerces are getting more complex and more various. This paper, for meta-data and data exchange between heterogeneous database systems, uses XML schema proposed in W3C, and XML schema can present meta-data and data of relational database system as XML document format which is structural. It supports various primitive data formats, so that it uses the structure which reflects adequately data formats which relational database system offered. However, current e-commerces use heterogeneous platforms, so difficulties that is mutual interchange and management exist. For the solution for these problems, a standard ontology which defines relations of product classifications and the standard of property expression and the location ontology which offers e-commerce's information about products are constructed. Applying these ontology information to search system, by offering information which customers need efficient search is performed. Combining these ontologies and product classification category information, called XMDR, this XMDR is introduced into product search system, so this paper proposes to construct ontology server method for efficient search.
Keywords
XMDR(eXtended Meta-Data Registry); MDR(Meta-Data Registry); Ontology; XML; Distributed Database; Distributed System;
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