Abstract: Ontology technology can achieve the capacity of interoperation and interchange at semantic level，so ontology learning from relational data model is becoming one of the most important issues in the construction of Semantic Web.We present an algorithm which stems from a method of translating a database model into a conceptual model through database inverse engineering.This algorithm for transformation from relational schema to ontology expressed by OWL DL，we prove to be sound.Furthermore，a prototype system to verify the result is developed.

Key words: relational data model, OWL DL, Ontology learning, Semantic Web

摘要： 本体技术是数据可以达到语义层次交换的关键，如何将当前各类数据形成本体知识库表示是一个非常重要的问题。针对这个问题，以一种关系模式到一种语义扩展ER模型的正确性可满足转换算法为基础，提出了一种通过数据库反向工程到OWL DL本体的翻译算法，说明了该算法使得转换是正确性可满足的，并实验实现验证了算法。

关键词: 关系数据模式, OWL DL, 本体学习, 语义网