计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 159-162.

• 软件工程 • 上一篇    下一篇

数据库元数据的自动语义标注

董国卿,童维勤   

  1. (上海大学计算机工程与科学学院 上海200444);(中国石油大学网络及教育技术中心 青岛266555)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Automatic Semantic Annotation for Metadata in Databases

  • Online:2018-11-16 Published:2018-11-16

摘要: 语义异构是异构数据库信息集成中要解决的关键问题。为了使关系数据库的表和字段具有语义信息,将数据库元数据自动标注成语义元数据成为研究的热点。基于概念名和概念结构的语义相似度计算,提出了一种数据库元数据自动语义标注方法。首先从关系数据库的元数据中提取隐含的语义信息,并据此创建领域本体,然后通过计算元数据与本体实体间的语义相似度对提取的元数据进行自动语义标注,提出的相似度算法综合考虑了概念名称和结构的相似性,并采取了必要的优化措施进行改进。经实验测试证明,该方法具有较高的标注正确率,是一种行之有效的语义标注方法。

关键词: 语义标注,元数据,本体,数据库

Abstract: The solution to semantic heterogeneity of the integrated data is a key point in the integration of heterogeneous databases. To aim at adding semantic information to tables and fields in relational databases,automatic semantic annotation for metadata in relational database is a hot spot. In this paper, a semantic annotation method was developed based on similarity algorithms. Firstly,implicit semantic information is extracted from metadata in relational databases,and domain ontologies are created based on the information. Then, the extracted information is annotated automatically by using name similarities and structural similarities between metadata and the ontology entity, and the similarity algorithms are improved. The experiment shows that the method is effective for the task of automatic semantic annotation.

Key words: Semantic annotation, Metadata, Ontology, Database

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