文章基本信息

标题：A Content-Based Schema Matching Tool
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作者：Farid Bourennani ; Farid Bourennani ; Mike Bourque 等
期刊名称：The World of Computer Science and Information Technology Journal
印刷版ISSN：2221-0741
出版年度：2019
卷号：9, (5)
期号：5
页码：22-27
出版社：WCSIT Publishing
摘要：Schema matching (SM) is a fundamental task of data integration and data warehousing. Often SM is performed manually which is time consuming and error prone. Furthermore, existing SM tools do not scale well to large schemas. To alleviate these challenges, a novel tool is proposed for automated schema mapping based on the content by matching data entities exclusively based on the content. The resulting topology is convenient to visually explore the relationship among database entities even in large volume. Also, a post-processing algorithm based on data types is proposed for further enhancement clustering results. We present a case study to demonstrate the efficiency and the practicality of the proposed tool.
关键词：Schema Matching; Schema Mapping; Data Integration; Content-Based Schema Matching; Instance-Based Schema Matching; Visualization