Research on Broken Mappings Detecting Method Based on Fuzzy Aggregation Operators in Deep Web Integration Environment

Author

Li, Aiping ; Miao, Jiajia ; Jia, Yan

Author_Institution

Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China

fYear

2010

fDate

7-9 May 2010

Firstpage

125

Lastpage

128

Abstract

The deep web integration system employs a set of semantic mappings between the mediated schema and the schemas of web data sources. In this dynamic environment, sources often undergo changes that invalidate the mappings. Such continuous monitoring is extremely labor intensive, and poses a key bottleneck to the widespread deployment of web data integration systems in practice. The paper describes DBMFR (Detecting Broken Mappings Based on Fuzzy Reasoning) an automatic solution to detecting broken mappings. Fuzzy aggregation operators are leveraged to calculate the score, which implies whether the mapping is broken. The paper provides a new fuzzy reasoning algorithm based on fuzzy aggregation operators. Experiments over real-world sources demonstrate the effectiveness of our fuzzy-based approach over existing solutions, as well as the utility of our improvements.

Keywords

Internet; fuzzy reasoning; information retrieval systems; information services; Web data integration system; broken mappings detecting method; continuous monitoring; data sources; deep Web integration environment; fuzzy aggregation operators; fuzzy reasoning algorithm; fuzzy-based approach; real-world sources; semantic mappings; widespread deployment; Accuracy; Books; Databases; Maintenance engineering; Marketing and sales; Prediction algorithms; Training; Deep Web; Fuzzy Aggregation Operators; Mapping Maintenance;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and E-Government (ICEE), 2010 International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3997-3

Type

conf

DOI

10.1109/ICEE.2010.39

Filename

5591131