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DOI:
Journal of Software:2009.20(2):234-245

本体辅助的自动化模式匹配技术
刘强,赵迪,钟华,黄涛
(中国科学院 软件研究所 软件工程技术研究开发中心,北京 100190;中国科学院 研究生院,北京 100049)
Ontology-Aided Automatic Schema Matching
LIU Qiang,ZHAO Di,ZHONG Hua,HUANG Tao
()
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Received:October 19, 2007    Revised:February 01, 2008
> 中文摘要: 在基于映射的数据交换系统框架下,提出了一种本体辅助的模式匹配方法.它利用WordNet词汇本体和决策树学习相结合的方法进行属性名称匹配,构建数据类型本体计算属性数据类型的语义距离,依赖领域本体发现一对多的语义匹配关系,这3个过程逐步提高了匹配质量.建立在实际应用数据上的实验结果表明,该方法具有较高的精确度和召回率.
中文关键词: 模式匹配  本体  决策树学习  数据库
Abstract:This paper introduces an ontology-aided schema matching method in the mapping-based data exchange framework. The decision tree learning and WordNet are used to match attribute names. A data type ontology is constructed to compute semantic distance between attribute data types. Also, domain ontologies can be used to detect 1:n semantic matches. The three steps improve the match quality steadily. Experiments of several real applications show encouraging results, yielding high precision and recall measures.
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基金项目:Supported by the National Natural Science Foundation of China under Grant No.60573126 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2004AA112010 (国家高技术研究发展计划(863)) Supported by the National Natural Science Foundation of China under Grant No.60573126 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2004AA112010 (国家高技术研究发展计划(863))
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刘强,赵迪,钟华,黄涛.本体辅助的自动化模式匹配技术.软件学报,2009,20(2):234-245

LIU Qiang,ZHAO Di,ZHONG Hua,HUANG Tao.Ontology-Aided Automatic Schema Matching.Journal of Software,2009,20(2):234-245