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http://dx.doi.org/10.5394/KINPR.2005.29.5.457

A Study on the Effective Database Integration Methodology - The Identification of Name Conflict -  

Lee Hong-Girl (Department of Logistics Engineering, Korea Maritime University)
Higa Kunihiko (Center for Research in Advanced Financial Technology, Tokyo Institute of Technology)
Fujikawa Takayuki (Department of Systems Development, NIT Data Corporation)
Publication Information
Journal of Navigation and Port Research / v.29, no.5, 2005 , pp. 457-464 More about this Journal
Abstract
Database integration has been recognized as a critical issue for effective logistics service in logistics environment. However, research related to effective methodology for this have been little studied, and also, prominent achievements have yet to be suggested. The aim of this paper is to present a quantitative methodology for the identification of conflict that is a representative problem on database integration. To achieve this aim, we suggested a quantitative methodology that can efficiently fine troubles such as name conflicts when schema integration, based on the level of semantic similarity between attributes and entities. And, in order to measure these semantic similarities, we used a thesaurus dictionary that proposed previous research. Finally, we presented effectiveness of the proposed methodology through some typical examples.
Keywords
Logistics information system; Database integration; Schema integration; Semantic conflict;
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