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Extracting entity-relationship diagram from a table-based legacy database

机译:从基于表的旧数据库中提取实体关系图

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Current database reverse engineering researches presume that the information regarding semantics of attributes, primary keys, and foreign keys in database tables is complete. However, this may not be the case. In a recent DBRE effort to derive a data model from a table-based database system, we find the data content of many attributes are not related to their names at all. In this paper, we present a process that extracts an extended entity-relationship diagram from a table-based database with little descriptions for the fields in its tables and no description for keys. The primary inputs of our approach are system display forms, table schema and data instance. We utilize screen displays to construct form instances. Secondly, code analysis and data analysis involving comparisons of fields and decomposition of fields are applied to extract attribute semantics from forms and table schemas, followed by the determination of primary keys, foreign keys and constraints of the database system. In the final step of conceptualization, with the processes of table mergence and relationship identification, an extended ER diagram is successfully extracted in a case study.
机译:当前的数据库逆向工程研究假设数据库表中有关属性,主键和外键的语义的信息是完整的。但是,事实并非如此。在DBRE最近从基于表的数据库系统派生数据模型的工作中,我们发现许多属性的数据内容根本与它们的名称无关。在本文中,我们提出了一个从基于表的数据库中提取扩展的实体关系图的过程,该表对其表中的字段几乎没有描述,而对键也没有描述。我们方法的主要输入是系统显示表单,表模式和数据实例。我们利用屏幕显示来构造表单实例。其次,应用涉及字段比较和字段分解的代码分析和数据分析,从表单和表模式中提取属性语义,然后确定数据库系统的主键,外键和约束。在概念化的最后一步,通过表合并和关系识别的过程,在案例研究中成功提取了扩展的ER图。

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