Acta Scientiarum Naturalium Universitatis Pekinensis

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Schema Merging Study with Semantic Relationships of Schema Elements

WANG Hongding1, 2, TAN Shaohua2, TANG Shiwei2, YANG Dongqing2, TONG Yunhai2   

  1. 1Department of Technology, China United Telecommunications Corporations, Beijing, 100032, Corresponding Author,; 2National Laboratory on Machine Pereption,Peking University,Beijing,100871
  • Received:2006-04-24 Online:2007-05-20 Published:2007-05-20



  1. 1中国联合通信有限公司技术部,北京,100032, 通讯作者,; 2视觉与听觉信息处理国家重点实验室,北京,100871

Abstract: Data integration has been a long, standing challenge for the database study communities, and construction global schemas is one of the most important problems in data integration research. This paper first analyzes the semantic relationships of schema elements, and based on those semantic relationships of schema elements, it proposes a method to schema merging with the results of schema matching. Different from previous methods, it extracts schemas from data dictionaries of data sources directly. Moreover, rules of schema elements merging are given corresponding to their semantic relationships. By using data dictionaries, not conceptual models, the method is more applicable and effective than the previous ones.

Key words: schema elements, semantic relationships, schema merging

摘要: 数据集成问题一直是数据库研究领域的热点之一,而全局模式构建是数据集成中的一项重要任务。通过对模式元素之间语义关系的分析,从数据源系统数据字典入手,利用模式匹配结果,提出了一种基于模式元素语义关系进行模式合并的方法,并给出了基于模式元素语义关系的合并规则及合并算法。最后,通过对已有模式合并方法的比较分析,说明该模式合并方法的可用性和有效性更好。

关键词: 模式元素, 语义关系, 模式合并

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