Ontology Automatic Constructing Based on Relational Database

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.