NDLI: Tibetan Concept Similarity Computation Based on Ontology

Content Provider	IEEE Xplore Digital Library
Author	Guixian Xu Qichao He Xuan Zhao Ruoqi Tang Qiuqiu Zhou Baobao Ding Xiaobing Zhao
Copyright Year	2013
Description	Author affiliation: Coll. of Inf. Eng., Minzu Univ. of China, Beijing, China (Guixian Xu; Qichao He; Xuan Zhao; Ruoqi Tang; Qiuqiu Zhou; Baobao Ding; Xiaobing Zhao)
Abstract	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.
Starting Page	292
Ending Page	295
File Size	253411
Page Count	4
File Format	PDF
e-ISBN	9781479928095
DOI	10.1109/ICINIS.2013.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Semantic Similarity Semantics Information processing Concept Similarity Ontologies Educational institutions Silicon Tibetan Information Processing Standards
Content Type	Text
Resource Type	Article

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