Affiliations: [a] Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei Province, China
| [b] College of Economics and Management, Qiqihar University, Qiqihar, Heilongjiang Province, China
| [c] Software Development Centre, Agricultural Bank of China, Beijing, China
Note: [1] Lingyu Zhang is a postdoctoral fellow at Yanshan University, and work at Qiqihar University.
Abstract: Ontology integration is an important work when several heterogeneous ontologies share or exchange their knowledge. It takes the two heterogeneous ontologies as input, and carries out three important steps: (1) creating mappings for the similar concepts from different ontologies based on the similarity calculation; (2) merging the mapped concepts into a new one, and generating a network-based model, called integrated model; (3) reconstructing the integrated model in order to obtain an integrated ontology (a tree-based model). However, the methods of merging concepts and generating integrated ontology have not been well discussed. To this end, this paper proposes an Ontology Integration Method based on Semantic Mapping, called OIM-SM. Firstly, OIM-SM calculates similarities for the concept-pairs, in which concepts are from different ontologies, and creates semantic equivalent mappings for the concept-pairs based on their similarities. For the mapped concepts, OIM-SM merges them to generate an integrated model. Then, the merged concepts are used to split the integrated model into blocks. Finally, OIM-SM re-aligns the concepts in the same block by analyzing the semantic relationships among them, in order to generate an integrated ontology. Some ontologies from the real world are used to test OIM-SM, and the results indicate that OIM-SM performs encouragingly well in the aspect of ontology integration.
