The aim of converting relational database into Ontology is to provide applications that are based on the semantic representation of the data. Whereas, representing the data using ontologies has shown to be a useful mechanism for managing and exchanging data. This is the reason why bridging the gap between relational databases and ontologies has attracted the interest of the ontology community from early years, and it is commonly referred to as the database-to-ontology mapping problem. In this paper, we: (1) propose a new life cycle for ontology learning from RDBs based on the software engineering requirements; (2) describe a new method for building ontology from Relational database based on the predefined life cycle; (3) add three new semantics that can be extracted from RDB; (4) we suggest an evaluation process based on two categories of metrics: (i) conceptual ontology (TBox) evaluation metrics; (ii) factual ontology (ABox) evaluation metrics.

将关系数据库转换为本体的目的是提供基于数据语义表示的应用程序。而使用本体表示数据已被证明是用于管理和交换数据的有用机制。这就是为什么从早期开始弥合关系数据库和本体之间的鸿沟就引起了本体论界的兴趣的原因，它通常被称为数据库到本体映射问题。在本文中，我们：（1）根据软件工程要求，提出了一个新的生命周期，用于从RDB学习本体。（2）描述了一种基于预定义生命周期的从关系数据库构建本体的新方法；（3）添加可以从RDB中提取的三个新语义；（4）我们建议根据两类指标进行评估：（i）概念本体（TBox）评估指标；（ii）事实本体（ABox）评估指标。