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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (11): 19-28    DOI: 10.11925/infotech.2096-3467.2017.0766
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An Improved Method of Semantic Similarity Calculation of Chinese Trademarks
Zhai Dongsheng, Cai Wenhao(), Zhang Jie, Li Zhenfei
School of Economics and Management, Beijing University of Technology, Beijing 100124, China
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Abstract  

[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.

Key wordsChinese Trademark      Semantic Similarity      HowNet      Similarity Detection     
Received: 05 August 2017      Published: 27 November 2017
ZTFLH:  G350  

Cite this article:

Zhai Dongsheng,Cai Wenhao,Zhang Jie,Li Zhenfei. An Improved Method of Semantic Similarity Calculation of Chinese Trademarks. Data Analysis and Knowledge Discovery, 2017, 1(11): 19-28.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0766     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I11/19

编号 商标名称 申请人
1 顺峰康王 广东华润顺峰药业有限公司
2 康王 滇虹药业集团股份有限公司
3 元鼎丰 吉林市丰迪食品有限公司
4 鼎丰真 长春市鼎丰真食品有限责任公司
吉林福源馆食品集团有限责任公司
5 任我游 北京合众思壮科技股份有限公司
6 任意游 张春龙
7 飘柔顺 檀南海
8 飘柔 保洁公司
9 鸭王 上海鸭王餐饮管理有限公司
10 鸭王 鸭王餐饮集团有限公司
11 旺顺阁 北京旺顺阁美食有限公司
12 旺顺斋 河北省张家口市旺顺斋饭庄
13 清飞扬 汕头市澳香琪日化有限公司
14 清扬 联合利华有限公司
15 小羚羊 苏州小羚羊电动车有限公司
16 羚羊 天津市马神自行车组装厂
17 土家人家 吕保卫
18 土家人 土家人集团酒业有限公司
19 超市发 北京超市发连锁股份有限公司
20 超市发 超市发商业公司
商标 传统方法结果 改进后方法的结果
“顺峰康王”与“康王” 0.9749 0.9832
“顺峰康王”与“鸭王” 0.7917 0.8333
“顺峰康王”与“鸭王” 0.7917 0.8333
“康王”与“鸭王” 0.7917 0.8611
“康王”与“鸭王” 0.7917 0.8611
“元鼎丰”与“鼎丰真” 0.8953 0.9372
“任我游”与“任意游” 0.8953 0.9372
“飘柔顺”与“飘柔” 0.9775 0.9865
“旺顺斋”与“旺顺阁” 0.8361 0.9016
“清扬”与“清飞扬” 0.9796 0.9878
“小羚羊”与“羚羊” 0.9749 0.9849
“土家人家”与“土家人” 0.8810 0.9320
传统方法 改进后方法
阈值 正确率 阈值 正确率
0.50 79.45% 0.55 83.25%
0.55 79.50% 0.60 93.20%
0.60 73.60% 0.65 91.20%
0.65 70.20% 0.70 85.00%
0.70 66.60% 0.75 72.50%
0.75 55.50% 0.80 65.40%
0.80 54.65% 0.85 57.80%
商标
侵权状态
源数据
数量
传统方法判断正确数量 正确率 改进后方法
判断正确数量
正确率
侵权 1 500 1 350 90.0% 1 422 94.80%
不侵权 500 240 48.0% 442 88.40%
合计 2 000 1 590 79.50% 1 864 93.20%
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