Semantic Annotation of Ontology by Using Rough Concept Lattice Isomorphic Model

Semantic annotation is the process based on ontology annotation concept class, attribute and other metadata for cyber source and its various parts. Ontology mapping is to calculate the similarity between two ontology elements. Ontology merging is two or more source ontology merging into a goal Ontology. The basic principle of the concept lattice isomorphic generating is isomorphic to the background of the isomorphic concept lattice, and as concept lattice isomorphic background can generate the concept lattice. This paper analyzes the methods of ontology mapping and merging based on rough concept lattice isomorphic model and presents semantic annotation of ontology by using rough concept lattice isomorphic model. Experiments show that this method is better than the traditional method in semantic annotation accuracy and breadth.