DocumentCode :
2456660
Title :
A Self-Configuring Schema Matching System
Author :
Peukert, Eric ; Eberius, Julian ; Rahm, Erhard
Author_Institution :
SAP Res., Dresden, Germany
fYear :
2012
fDate :
1-5 April 2012
Firstpage :
306
Lastpage :
317
Abstract :
Mapping complex metadata structures is crucial in a number of domains such as data integration, ontology alignment or model management. To speed up the generation of such mappings, automatic matching systems were developed to compute mapping suggestions that can be corrected by a user. However, constructing and tuning match strategies still requires a high manual effort by matching experts as well as correct mappings to evaluate generated mappings. We therefore propose a self-configuring schema matching system that is able to automatically adapt to the given mapping problem at hand. Our approach is based on analyzing the input schemas as well as intermediate matching results. A variety of matching rules use the analysis results to automatically construct and adapt an underlying matching process for a given match task. We comprehensively evaluate our approach on different mapping problems from the schema, ontology and model management domains. The evaluation shows that our system is able to robustly return good quality mappings across different mapping problems and domains.
Keywords :
data integration; data structures; meta data; ontologies (artificial intelligence); pattern matching; automatic matching system; complex metadata structure mapping; data integration; generated mapping evaluation; mapping generation; model management domain; ontology alignment; self-configuring schema matching system; Adaptive systems; Libraries; Noise; Ontologies; Pattern matching; Robustness; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2012 IEEE 28th International Conference on
Conference_Location :
Washington, DC
ISSN :
1063-6382
Print_ISBN :
978-1-4673-0042-1
Type :
conf
DOI :
10.1109/ICDE.2012.21
Filename :
6228093
Link To Document :
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