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An Ontology-Based Approach for Semantic Conflict Resolution in Database Integration
作者姓名:Qiang Liu  Tao Huang  Shao-Hua Liu  and Hua Zhong
作者单位:[1]Institute of Software, Chinese Academy of Sciences, Beijing 100080, China [2]Graduate School of the Chinese Academy of Sciences, Beijing 100080, China
基金项目:This work is supported by the National natural Science Foundation of China under Grant No. 60573126, the National High-Tech Research and Development 863 Program of China under Grant No. 2004AA112010, the National Grand Fundamental Research 973 Program of China under Grant No. 2002CB312005.
摘    要:An important task in database integration is to resolve data conflicts, on both schema-level and semantic-level. Especially difficult the latter is. Some existing ontology-based approaches have been criticized for their lack of domain generality and semantic richness. With the aim to overcome these limitations, this paper introduces a systematic approach for detecting and resolving various semantic conflicts in heterogeneous databases, which includes two important parts: a semantic conflict representation model based on our classification framework of semantic conflicts, and a methodology for detecting and resolving semantic conflicts based on this model. The system has been developed, experimental evaluations on which indicate that this approach can resolve much of the semantic conflicts effectively, and keep independent of domains and integration patterns.

关 键 词:数据库  基于语义矛盾  数据处理  数据综合
修稿时间:2006-05-012006-12-14

An Ontology-Based Approach for Semantic Conflict Resolution in Database Integration
Qiang Liu,Tao Huang,Shao-Hua Liu,and Hua Zhong.An Ontology-Based Approach for Semantic Conflict Resolution in Database Integration[J].Journal of Computer Science and Technology,2007,22(2):218-227.
Authors:Qiang Liu  Tao Huang  Shao-Hua Liu  Hua Zhong
Affiliation:1 Institute of Software, Chinese Academy of Sciences, Beijing 100080, China; 2 Graduate School of the Chinese Academy of Sciences, Beijing 100080, China
Abstract:An important task in database integration is to resolve data conflicts, on both schema-level and semantic-level. Especially difficult the latter is. Some existing ontology-based approaches have been criticized for their lack of domain generality and semantic richness. With the aim to overcome these limitations, this paper introduces a systematic approach for detecting and resolving various semantic conflicts in heterogeneous databases, which includes two important parts: a semantic conflict representation model based on our classification framework of semantic conflicts, and a methodology for detecting and resolving semantic conflicts based on this model. The system has been developed, experimental evaluations on which indicate that this approach can resolve much of the semantic conflicts effectively, and keep independent of domains and integration patterns.
Keywords:database integration  semantic conflict resolution  ontology  RDF  OWL
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