%A Zhai Dongsheng,Cai Wenhao,Zhang Jie,Li Zhenfei %T An Improved Method of Semantic Similarity Calculation of Chinese Trademarks %0 Journal Article %D 2017 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2017.0766 %P 19-28 %V 1 %N 11 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4439.shtml} %8 2017-11-25 %X

[Objective] This paper proposes a new method to determine the semantic similarity of Chinese trademarks, aiming to meet the demands of judging trademark infringements. [Methods] First, we modified the HowNet based algorithm with new parameters to calculate the semantic similarity. Then, we retrieved a large number of trademark data to expand the coverage of HowNet. Third, we compared the performance of traditional and improved methods with the sample data. [Results] The modified algorithm could yield better results. [Limitations] The supporting data for similarity detection, i.e. trademark database, needs to be expanded. [Conclusions] The proposed method could effectively detect the semantic similarity of Chinese trademarks.