Design of Adaptive Retrieval System using XMDR based knowledge Sharing 


Vol. 31,  No. 8, pp. 716-729, Aug.  2006


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  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.

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  Cite this article

[IEEE Style]

C. Hwang, K. Jung, Y. Choi, "Design of Adaptive Retrieval System using XMDR based knowledge Sharing," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 8, pp. 716-729, 2006. DOI: .

[ACM Style]

Chi-gon Hwang, Kye-dong Jung, and Young-Keun Choi. 2006. Design of Adaptive Retrieval System using XMDR based knowledge Sharing. The Journal of Korean Institute of Communications and Information Sciences, 31, 8, (2006), 716-729. DOI: .

[KICS Style]

Chi-gon Hwang, Kye-dong Jung, Young-Keun Choi, "Design of Adaptive Retrieval System using XMDR based knowledge Sharing," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 8, pp. 716-729, 8. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880