Tibetan Concept Similarity Computation Based on Ontology
Guixian Xu, Qichao He, Xuan Zhao, Ruoqi Tang, Qiuqiu Zhou, Baobao Ding, Xiaobing Zhao · 2013
Tibetan information processing technology has made some advances. However it still does not keep up with the development of today's information age. The semantic study based on the Tibetan Ontology is important and valuable. In this paper, we propose an approach of Tibetan concept similarity computation based on Ontology. It considers four aspects such as the semantic coincidence degree, the semantic distance, the semantic density, the node depth. The experiment result shows that the proposed approach can effectively calculate the concept similarity degree in the Ontology tree. The research is useful and helpful to the study of Tibetan semantic information processing.