Application of Ontology Matching Algorithm in Linguistic Features
Yan Zhu · 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2020
To discuss the role of Ontology Matching Algorithm in linguistic features, the application fields of Ontology Matching Algorithm are introduced firstly. Then, the major Ontology Systems and typical Ontology Matching Frameworks are discussed so that the concept of Ontology Matching Algorithm is Clear. Thirdly, to further explore the importance of Ontology Matching Algorithm in linguistic, the Ontology Matching Algorithm based on semantic (Omabos) is Analysed. At last, the Ontology Matching Algorithm based on linguistic features (Omablf) is designed and verified. The results show that the presented Algorithm has good effects. However, any kind of Matching Algorithm always has its drawbacks and is difficult to do well in each aspect of matching. Therefore, in practical applications, Matching Systems are usually synthesized by a variety of different types of Matching Algorithms (element level or structure level), to achieve a good matching effect.