A Proposal for Computation of Semantic Similarities of Chinese Automation Discipline Words
In dealing with the Semantic similarity of Chinese words, using Hownet would be a preferable popular method. But HowNet has its own shortcomings. First, most of the concepts in HowNet concern in explaining common terms, lacking of specialized vocabulary. Second, most of the concepts in HowNet are independent concepts and lack of compound concepts. In response to the above problems, we combine HowNet with Conceptual Knowledge Tree Knowledge Representation System. Based on this, we have analyzed the structures of concepts, distributed different weights to relevant positions, determined their meanings and calculated Chinese semantic similarity of automation discipline. The results are satisfactory basically.
Similarity Compound Concepts HowNet Conceptual Knowledge Tree Knowledge Representation System automation discipline
Xianda Liu Tao Feng Xiaorong Qu Peng Lu Yiping Yang
Integrated Information System Research Center Institute of Automation, Chinese Academy of Sciences High Technology Institute of the Second Artillery Beijing, P.R.China
国际会议
重庆
英文
132-136
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）