This paper proposes some improved rules for transforming relational database into OWL Ontology. Most of all, all the steps in RDB2OWL are done automatically without any user intervention. | TẠP CHÍ KHOA HỌC ĐẠI HỌC ĐÀ LẠT Tập 7, Số 2, 2017 129–141 129 RDB2OWL: AN IMPROVED METHOD FOR CONVERTING RELATIONAL DATABASES INTO OWL Pham Thi Thu Thuya* a The Faculty of Information Technology, Nhatrang University, Khanhhoa, Vietnam Article history Received: January 11th, 2017 | Received in revised form: April 11th, 2017 Accepted: May 17th, 2017 Abstract One of the biggest advantages of the Semantic web is to describe data with a well-defined meaning and link between data by using the OWL (Web Ontology Language). Today most data are stored in relational databases. In order to reuse the data on the Semantic Web, there is a need for transforming the data stored in relational databases into the form of OWL Ontology. Some approaches have been proposed; however, most of their transformation rules have not been complete. This paper proposes some improved rules for transforming relational database into OWL Ontology. Most of all, all the steps in RDB2OWL are done automatically without any user intervention. Keywords: Databases; Ontology; OWL; Transformation. 1. INTRODUCTION From inception to date, the World Wide Web (WWW) has become an important tool to store and share huge sources of mankind knowledge. Most data on the WWW is currently stored in form of the relational databases (RDBs). The organization of data storage of relational databases (Andrew, 2009) offers many advantages such as: Efficient storage, an ability to execute complex queries, scalability, high security. However, RDBs are distinct, heterogeneous on schemas, terminology, and identification. Thus, Ontology was born for the purpose of providing the foundation for integrating all data sources. The conversion of data from RDB into an OWL Ontology is the solution to take advantage of and exploit the huge data available on the WWW. * Corresponding author: Email: thuthuy@ TẠP CHÍ KHOA HỌC ĐẠI HỌC ĐÀ LẠT [ĐẶC SAN CÔNG NGHỆ THÔNG TIN] 130 Currently there are several methods of transforming
