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Schema Mapping Method using Frequent Pattern Mining  

Chai, Duck Jin (전남대학교 데이터베이스연구실)
Ban, Kyeong-Jin (순천대학교 컴퓨터과학과)
Kim, Eung-Kon (순천대학교 컴퓨터과학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.5, no.1, 2010 , pp. 93-101 More about this Journal
Abstract
Currently lots of studies to solve meta-data interoperability in between schema attributes are conducted. But the accuracy in previous schema mapping studies is low since the studies just use the similarity in between attributes. So the studies are not suitable for the schema mapping such as document conversion, system integration, etc. In this paper, we propose a method which can conduct the schema mapping interactively using frequent pattern mining. The method can conduct more accurate mapping process because the method use the description element which is an element among each schema element for the metadata standard. A performance study has been conducted to compare the accuracy performance of the method using metadata standards.
Keywords
Frequent Pattern Mining; Schema Mapping; Association Rule Mining;
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