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Zhaopeng Zheng
South China University of Technology

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Automatic Detection and Processing of Attributes Inconsistency for Fuzzy Ontologies Merging Yonghong Luo; Zhou Yu; Yanhao Zhuang; Zhaopeng Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Semantic fusion of multiple data sources and semantic interoperability between heterogeneous systems in distributed environment can be implemented through integrating multiple fuzzy local ontologies. However, ontology merging is one of the valid ways for ontology integration. In order to solve the problem of attributes inconsistency for concept mapping in fuzzy ontology merging system, we present an automatic detection algorithm of inconsistency for the range, number and membership grade of attributes between mapping concepts, and adopt corresponding processing strategy during the fuzzy ontologies merging according to the different types of attributes inconsistency. Experiment results show that with regard to merging accuracy, the fuzzy ontology merging system in which the automatic detection algorithm and processing strategy of attributes inconsistency is embedded is better than those traditional ontology merging systems like GLUE, PROMPT and Chimaera.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3490
Co-Authors Yanhao Zhuang Yonghong Luo Zhou Yu