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- W2365693820 abstract "Schema matching is a difficulty in many database application domains,e.g.,data integration,E-business,data warehousing and semantic query.We can get correct mapping by mining the semantics of elements from the elements' own information(e.g.,elements' names and elements' data types),data instances for elements and structure information.In this paper,we introduce a new algorithm which integrates the data instance information and structure information to supply matching.At first,we calculated the degree of partial functional dependency according to the data instance information,and then we constructed the graph of partial functional dependency(Fig.3)based on the degree of partial functional dependency,the degree of structure similarity was calculated according to the graph fo partial functional dependency,at last,according to the degree of structure similarity and semantic similarity,the mapping was generated.Because of the more structure information was used,the performance of this algorithm is better than the algorithm only use the complete functional dependency information.Extensive simulation experiments were conducted and the results(Fig.8,Fig.9)show that this algorithm is better than other related algorithms in various performance metrics such as precision,recall and overall." @default.
- W2365693820 created "2016-06-24" @default.
- W2365693820 creator A5013643897 @default.
- W2365693820 date "2010-01-01" @default.
- W2365693820 modified "2023-09-23" @default.
- W2365693820 title "A Structure Matching Method Based on Partial Functional Dependencies" @default.
- W2365693820 hasPublicationYear "2010" @default.
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