DocumentCode
2983982
Title
A Fuzzy-Based Broken Schema Mapping Detecting Approach
Author
Miao, Jiajia ; Zhang, Dongge ; Li, Aiping ; Chen, Guoyou
Author_Institution
Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2010
fDate
25-27 June 2010
Firstpage
4871
Lastpage
4874
Abstract
In the dynamic distributed environment, the data sources trend to suffer changes that invalidate the mappings. We put forward a Fuzzy-based Broken Schema Mapping Detecting Approach (BSMD) to process the run time broken mapping detecting problem. The core of BSMD is a set of computationally inexpensive modules called sensors, which capture salient characteristics of data sources. There are two novel improvements: Disjunction-Weighted Average Operators are leveraged to calculate the score, which implies whether the mapping is broken; Change Weight Operators is introduced combine artificial data with real data in the training phase. The experiments over the real-world sources demonstrate the effectiveness of our fuzzy-based approach over existing solutions, as well as the utility of our improvements.
Keywords
data handling; distributed processing; fuzzy set theory; broken schema mapping detecting approach; change weight operators; disjunction-weighted average operators; dynamic distributed environment; fuzzy-based detecting approach; Computers; Machine learning; Maintenance engineering; Peer to peer computing; Presses; Programmable logic arrays; Sensors; broken mapping detecting; data integration; fuzzy aggregation operators;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.1178
Filename
5630081
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