Ontology Automatic Constructing Based on Relational Database

摘要：

Ontologies are often used to achieve interoperability between the nodes in the grid and the cloud. At present, most ontologies are built manually by the experts in the field. A new method aiming at ontology learning based on relational database is proposed. By analyzing the schema of relational database, a group of rules of transition from relational schema to OWL are established. Then a framework for extracting ontology from relational database is proposed. Based on the above work, a heterogeneous data integration based semantic prototype system is designed and implemented. Finally, strong and firm support to applications has been provided.

关键词： Ontology Relational Database Extraction Ontology Learning

作者: Peng Liu Xiaoying Wang Aihua Bao Xiaoxuan Wang

作者单位: Command Automation Institute, PLA University of Science & Technology, Nanjing, China Command Automation Institute, PLA University of Science & Technology, Nanjing, China;The 202th Hospi Department of Surveying and Geo-informatics, Tongji University, Shanghai, China

会议类型: 国际会议

会议名称: The Ninth International Conference on Grid and Cloud Computing(第九届网格与云计算国际学术会议 GCC 2010)

会议地点: 南京

会议语种:英文

页码: 412-415

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）