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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
Dongsheng Zhai,Wenhao Cai(),Jie Zhang,Zhenfei Li
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

Cite this article:

Dongsheng Zhai,Wenhao Cai,Jie Zhang,Zhenfei Li. 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

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