在数据库集成的一项重要任务是解决数据冲突,在上纲要级、语义水平。特别困难后者是。某存在基于本体论的途径为他们领域概论和语义丰富的缺乏被批评了。与目的到克服这些限制,这篇论文为在异质功能数据库检测并且解决各种各样的语义冲突介绍一条系统的途径,它包括二重要部分:基于我们为检测并且解决的语义冲突,和方法论的分类框架,语义冲突基于这建模的一个语义冲突表示模型。系统被开发了,哪个显示这来临上的实验评价能有效地解决许多语义冲突,并且保持独立于领域和集成模式。电子增补材料电子增补材料为在 http://dx.doi.org/10.1007/s11390-007-9028-4 的这篇文章是可得到的并且为授权的用户可存取。
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.