DocumentCode
2680067
Title
Multi-mapping based ontology merging system design
Author
Li, Guanyu ; Luo, Zhenghai ; Shao, Jianshuang
Author_Institution
Fac. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Volume
2
fYear
2010
fDate
27-29 March 2010
Firstpage
5
Lastpage
11
Abstract
It is found that ontology merging is the most effective way to solve the problem of ontology heterogeneity in distributed environment which can hinder the inter-operability of the services by using ontology to describe Web services and merged ontology can provide a good basis for the inter-operability of services. To solve this problem, firstly a framework for multi-mapping based ontology merging systems (MMOMS) is proposed, and the functions and working processes of its six composition modules are fully described. Secondly, the compound strategy to merge ontology mapping results is set forth in detail. Thirdly, 5 rules for ontology merging and 2 rules for conflict handling are given. Lastly, algorithms of ontology merging, attribute merging, relation merging, and super-class merging of MMOMS are designed formally. In terms of general performance, the experimental verification result reveals that the MMOMS works well in solving the problem of ontology heterogeneity in Semantic Web Services.
Keywords
Web services; ontologies (artificial intelligence); Web services; attribute merging; distributed environment; multimapping based ontology merging system; ontology heterogeneity; relation merging; super-class merging; Algorithm design and analysis; Bridges; Corporate acquisitions; Information science; Merging; Ontologies; Protocols; Semantic Web; Terminology; Web services; Multi-Mapping; Ontology Merging; Semantic Web Service; Web Service Integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5487170
Filename
5487170
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