Ontology Automatic Constructing Based on Relational Database
Peng Liu, Xiaoying Wang, Aihua Bao, Xiaoxuan Wang · 2010
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.