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Design of Adaptive Retrieval System using XMDR based knowledge Sharing  

Hwang Chi-Gon (광운대학교 정보통신대학원)
Jung Kye-Dong (광운대학교)
Choi Young-Keun (광운대학교)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.31, no.8B, 2006 , pp. 716-729 More about this Journal
Abstract
The information systems in the most enterprise environments are distributed locally and are comprised with various heterogeneous data sources, so that it is difficult to obtain necessary and integrated information for supporting user decision. For solving 'this problems efficiently, it provides uniform interface to users and constructed database systems between heterogeneous systems make a consistence each independence and need to provide transparency like one interface. This paper presents XMDR that consists of category, standard ontology, location ontology and knowledge base. Standard ontology solves heterogeneous problem about naming, attributes, relations in data expression. Location ontology is a mediator that connects each legacy systems. Knowledge base defines the relation for sharing glossary. Adaptive retrieve proposes integrated retrieve system through reflecting site weight by location ontology, information sharing of various forms of knowledge base and integration and propose conceptual domain model about how to share unstructured knowledge.
Keywords
XMDR(eXtended Meta-Data Registry); MDR(Meta-Data Registry); Ontology; Distributed Database; Distributed System;
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