Title :
An Improved Schema Mapping Approach Based on Stacking
Author :
Miao, Jiajia ; Wang, Zhixue ; Chen, Guoyou ; Li, Aiping ; Jia, Yan
Author_Institution :
Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
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.
Keywords :
data integrity; learning (artificial intelligence); MSMA design; data consistency; information utilization; multistrategy schema matching; stacking; Bagging; Computers; IP networks; Programmable logic arrays; Schedules; Stacking; XML; multi-strategy; schema matching; stacking;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1181