Dynamic Ontology Generation using Relational Schema

The ontology is one of the best methods of defining the semantic model of the data combined with the associated domain knowledge. It can be used in formulating some data searching strategies. Ontologies can also define links between different types of semantic knowledge. However, ontology building is a time-consuming and complicated task that needs expert participation. Therefore, the automatic generation of ontology is a crucial topic among researchers. Furthermore, to take the maximum output of the semantic systems needs a dynamic update of not only the data but relationships accordingly. This paper proposes a method of automatic generation of the dynamic ontology using a relational database and expanding dynamically when a new concept is needed to add. As per the knowledge, this is the first approach to updating the ontology by dynamically using the updated relational schema. The proposed method shows higher accuracy in the evaluation when generating and updating all ontology components dynamically.