计算机科学 ›› 2011, Vol. 38 ›› Issue (12): 1-5.

• 综述 •    下一篇

不确定模式匹配研究综述

翁年凤,刁兴春,曹建军,冯径   

  1. (解放军理工大学指挥自动化学院 南京210007);(总参第六十三研究所 南京210007);(解放军理工大学气象学院 南京211101)
  • 出版日期:2018-12-01 发布日期:2018-12-01

Survey of Uncertain Schema Matching

  • Online:2018-12-01 Published:2018-12-01

摘要: 模式匹配是数据集成、语义Web等研究领域的重要研究内容,需要依据一定的启发式信息发现模式元素之间的对应关系。鉴于启发式信息处理方法的不同,对模式匹配方法进行了分类,并从模式匹配结果集结方法的角度,介绍了综合模式匹配方法。不确定性是模式匹配过程固有的特性,介绍了建模模式匹配过程中不确定性的数据模型,在此基础上介绍了处理模式匹配过程中不确定性的模式匹配方法。最后对模式匹配研究进行了展望。

关键词: 数据集成,模式匹配,不确定性

Abstract: Schema matching is one of the research directions of data integration and semantic Web. Its work is to discover correspondence of schema elements using heuristic information. We proposed a new classification of schema matcking based on the way that heuristic information is processed. An overview of composed schema matching was given according to different aggregation methods of schema matching results. Uncertainty is the inherent character of schema matching. We surveyed data models modeling uncertainty of schema matching,and on this basis we introduced uncertain schema matching. At last we prospected the research directions.

Key words: Data integration, Schema matching, Uncertainty

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