一种基于结构的模式集成方法

M. García-Solaco, F. Saltor, M. Castellanos
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引用次数: 63

摘要

由于语义异构,将多个数据库的模式集成为一个集成模式的过程并不容易。我们提出了一种方法,通过遵循策略和应用比较标准来检测类相似性,该方法利用了模式的语义丰富的结构(以前是丰富的),以及泛化/专门化和聚合维度。松弛可以应用于使一对类保持一致,从而导致在计算相似度时受到惩罚。我们的方法比基于属性比较的方法需要更少的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A structure based schema integration methodology
The process of integrating the schemas of several databases into an integrated schema is not easy, due to semantic heterogeneities. We present a method/sup 1/ to detect class similarities by following a strategy and applying comparison criteria, that exploits the semantically rich structures of the schemas (previously enriched), along both the generalization/specialization and the aggregation dimensions. Relaxations may be applied to conform a pair of classes, resulting in penalizations in the computation of the degree of similarity. Our approach needs less comparisons than methods based on attribute comparison.<>
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