A Semantic-Oriented Method for Ontology Merging
Hai Li Zhang, Wan Lin Gao, Ying Chen, Huan Deng, Dong Hua Liang, Qing Fa Wang, Yu‐Chun Chen · Applied Mechanics and Materials · 2012
Most of the methods for ontology merging need participation of domain experts and provide only partial automation with low efficiency. It is time-consuming and laborious especially when large amount of data are to be merged. In this paper, a method based on semantic is designed for ontology merging according to the case of ontologies to be merged. In this method, first the ontologies to be merged are conversed into a unified format. Then a secondary file is generated. After that semantic analysis is applied to secondary file and a dynamic SQL statements is generated automatically. At last the SQL statements are executed to finish ontology merging. It has been proved by the experiment that using this method would get good precision and high efficiency. Using this method, two ontologies Chinese Agricultural Thesaurus and AGROVOC of the Food and Agriculture Organization are merged successfully.