An Improved Schema Mapping Approach Based on Stacking

Electrical and Control Engineering(2010)

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摘要
To address the data consistency issue of schema level, we proposed a Stacking-based Multi-Strategy Schema Matching Approach (MSMA). We are supposed to use the information of schema and other descriptions, along with the characteristics of instances, to identify the relation between different schemas. The multi-strategy approach can increase the utilization of information, thus it can improve the accuracy of mapping. MSMA designs a number of learners to grasp the information of instances, and improves the multi-strategy approach. The experimental results show that the precision of MSMA is up to 89%, and the recall of MSMA is up to 93%. As to the pattern of lack of schema information, MSMA has more precision of the original approach.
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关键词
schema matching,improved schema mapping approach,stacking-based multi-strategy schema matching,learning (artificial intelligence),information utilization,data consistency issue,data consistency,msma design,stacking,multi-strategy approach,different schema,schema level,schema information,multistrategy schema matching,data integrity,original approach,multi-strategy,xml,schedules,bagging,learning artificial intelligence
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