|
|
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 |
|
|
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.
|
Received: 05 August 2017
Published: 27 November 2017
|
|
[1] |
魏纪林, 胡神松, 李明星. 关于我国企业商标战略措施的基本思考[J]. 知识产权, 2010, 20(5): 49-53.
doi: 10.3969/j.issn.1003-0476.2010.05.008
|
[1] |
(Wei Jilin, Hu Shensong, Li Mingxing.Basic Thinking on Trademark Strategy Measures of Enterprises in China[J]. Intellectual Property, 2010, 20(5):49-53.)
doi: 10.3969/j.issn.1003-0476.2010.05.008
|
[2] |
张明春. 实施商标战略唱响品牌力量[J]. 农村农业: 农民, 2015(9): 48-50.
|
[2] |
(Zhang Mingchun.Implement the Trademark Strategy to Show the Brand Power[J]. Countryside Agriculture: Farmer, 2015(9): 48-50.)
|
[3] |
李先国, 陈宁颉, 张新圣, 等. 虚拟品牌社区感知价值对新产品购买意愿的影响机制——基于群体认同和品牌认同的双中介视角[J]. 中国流通经济, 2017, 31(2): 93-100.
|
[3] |
(Li Xianguo, Chen Ningjie, Zhang Xinsheng, et al.The Influence Mechanism of Virtual Brand Community’s Perceived Value on Purchase Intention of New Product——Based on the Double Mediation of Group Identity and Brand Identity[J]. China Business and Market, 2017, 31(2): 93-100.)
|
[4] |
陶博识. 企业商标保护问题研究[J]. 市场研究, 2014(9): 56-57.
|
[4] |
(Tao Boshi.Study on Trademark Protection of Enterprises[J]. Marketing Research, 2014(9): 56-57.)
|
[5] |
Scott C D.Trademark Strategy in the Internet Age: Customer Hijacking and the Doctrine of Initial Interest Confusion[J]. Journal of Retailing, 2013, 89(2): 176-189.
doi: 10.1016/j.jretai.2012.11.004
|
[6] |
Melnyk V, Giarratana M, Torres A.Marking Your Trade: Cultural Factors in the Prolongation of Trademarks[J]. Journal of Business Research, 2014, 67(4): 478-485.
doi: 10.1016/j.jbusres.2013.06.003
|
[7] |
Mealem Y, Yacobi Y, Yaniv G.Trademark Infringement and Optimal Monitoring Policy[J]. Journal of Economics & Business, 2010, 62(2): 116-128.
doi: 10.1016/j.jeconbus.2009.09.001
|
[8] |
Fernandes S.A Case Study Approach - An Analysis of the Infringement of Trademark by Comparative Advertising[J]. Procedia-Social and Behavioral Sciences, 2014, 133: 346-357.
doi: 10.1016/j.sbspro.2014.04.200
|
[9] |
Cosgrove M, Marsh D, Chester J F, et al.Case Study: Trademark Infringement Issues[J]. Journal of Business Case Studies, 2011, 7(2). DOI: 10.19030/jbcs.v7i2.4172.
doi: 10.19030/jbcs.v7i2.4172
|
[10] |
刘强, 李红旭. 3D打印视野下的商标侵权认定[J]. 知识产权, 2015, 25(5): 56-61.
|
[10] |
(Liu Qiang, Li Hongxu.Verification of Trademark Infringement in 3D[J]. Intellectual Property, 2015,25(5): 56-61.)
|
[11] |
刘期家. 商标侵权认定理论考评与探索[J]. 知识产权, 2013, 23(6): 21-27.
|
[11] |
(Liu Qijia.Evaluation and Exploration of the Theory of Trademark Infringement[J]. Intellectual Property, 2013, 23(6): 21-27.)
|
[12] |
储伟曼. 网络交易平台提供者商标侵权责任认定问题研究[J]. 中国集体经济, 2017 (5): 102-103.
|
[12] |
(Chu Weiman.Research on the Identification of Trademark Tort Liability of Internet Trading Platform Provider[J]. China Collective Economy, 2017 (5): 102-103.)
|
[13] |
Quan X, Liu G, Lu Z, et al.Short Text Similarity Based on Probabilistic Topics[J]. Knowledge & Information Systems, 2010, 25(3): 473-491.
doi: 10.1007/s10115-009-0250-y
|
[14] |
王嘉旸, 杨丽萍, 闫天伟. 基于向量空间模型的文本相似度计算方法[J]. 科技广场, 2017(2): 9-13.
|
[14] |
(Wang Jiayang, Yang Liping, Yan Tianwei.Text Similarity Computing Method Based on Vector Space Model[J]. Science Mosaic, 2017(2): 9-13.)
|
[15] |
阳小兰, 杨威, 钱程, 等. 融合HowNet和BTM模型的短文本聚类方法[J]. 计算机工程与设计, 2017, 38(5): 1258-1263.
doi: 10.16208/j.issn1000-7024.2017.05.026
|
[15] |
(Yang Xiaolan, Yang Wei, Qian Cheng, et al.Short-text Clustering Method Combining HowNet with BTM Model[J]. Computer Engineering and Design, 2017, 38(5): 1258-1263.)
doi: 10.16208/j.issn1000-7024.2017.05.026
|
[16] |
Niu Y, Zou Q, Han Y.Study of Chinese Text Similarity Based on Difference Factor in Word-Number[J]. Journal of Multimedia, 2014, 9(7): 865-872.
doi: 10.4304/jmm.9.7.865-872
|
[17] |
Alkhatib B, Alnahhas A, Albadawi F.A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet[J]. International Journal of Web-Based Learning and Teaching Technologies, 2014, 9(2): 1-13.
doi: 10.4018/ijwltt.2014040101
|
[18] |
Anuar F M, Setchi R, Lai Y K.A Conceptual Model of Trademark Retrieval Based on Conceptual Similarity[J]. Procedia Computer Science, 2013, 22: 450-459.
doi: 10.1016/j.procs.2013.09.123
|
[19] |
Taieb M A H, Aouicha M B, Hamadou A B. Ontology-based Approach for Measuring Semantic Similarity[J]. Engineering Applications of Artificial Intelligence, 2014, 36: 238-261.
doi: 10.1016/j.engappai.2014.07.015
|
[20] |
Ma Y, Liu J, Yu Z.Concept Name Similarity Calculation Based on WordNet and Ontology[J]. Journal of Software, 2013, 8(3): 746-753.
doi: 10.4304/jsw.8.3.746-753
|
[21] |
赵小谦, 郑彦, 储海庆. 概念树在短文本语义相似度上的应用[J]. 计算机技术与发展, 2012, 22(6): 159-162.
|
[21] |
(Zhao Xiaoqian, Zheng Yan, Chu Haiqing.Application of Concept Tree in Semantic Similarity of Short Texts[J]. Computer Technology and Development, 2012, 22(6): 159-162.)
|
[22] |
黄贤英, 刘英涛, 饶勤菲. 一种基于公共词块的英文短文本相似度算法[J]. 重庆理工大学学报, 2015, 29(8): 88-93.
doi: 10.3969/j.issn.1674-8425(z).2015.08.017
|
[22] |
(Huang Xianying, Liu Yingtao, Rao Qinfei.Similarity Algorithm Based on Common Chunks Between English Short Texts[J]. Journal of Chongqing Institute of Technology, 2015, 29(8): 88-93.)
doi: 10.3969/j.issn.1674-8425(z).2015.08.017
|
[23] |
李慧. 词语相似度算法研究综述[J]. 现代情报, 2015, 35(4): 172-177.
|
[23] |
(Li Hui.A Review on the Research of Word Similarity Algorithms[J]. Modern Information, 2015, 35(4): 172-177.)
|
[24] |
邓宏光. 论商标侵权的判断标准——兼论《中华人民共和国商标法》第52条的修改[J]. 法商研究, 2010(1): 46-53.
|
[24] |
(Deng Hongguang.On the Criterion of Trademark Infringement - Also on the Revision of Article 52 of the Trademark Law of the People’s Republic of China[J]. Zuel Law Journal, 2010(1): 46-53.)
|
[25] |
王太平. 商标侵权的判断标准:相似性与混淆可能性之关系[J]. 法学研究, 2014, 36(6): 162-180.
|
[25] |
(Wang Taiping.Criterion of Trademark Infringement: Relationship Between Similarity and Confusion[J]. Chinese Journal of Law, 2014, 36(6): 162-180.)
|
[26] |
张德芬. 商标侵权中“使用”的含义[J]. 知识产权, 2014, 24(9): 3-10.
doi: 10.3969/j.issn.1003-0476.2014.09.001
|
[26] |
(Zhang Defen.The Meaning of “Use” in Trademark Infringement[J]. Intellectual Property, 2014, 24(9): 3-10.)
doi: 10.3969/j.issn.1003-0476.2014.09.001
|
[27] |
董振东, 董强. 知网和汉语研究[J]. 当代语言学, 2001, 3(1): 33-44.
|
[27] |
(Dong Zhendong, Dong Qiang.Construction of a Knowledge System and Its Impact on Chinese Research[J]. Contemporary Linguistics, 2001, 3(1): 33-44.)
|
[28] |
Agirre E, Rigau G.A Proposal for Word Sense Disambiguation Using Conceptual Distance [OL]. Preprint arXiv, arXiv: cmp-lg/9510003.
doi: 10.1075/cilt.136.16agi
|
[29] |
刘群, 李素建. 基于《知网》的词汇语义相似度计算[J]. 中文计算语言学, 2002, 7(2): 59-76.
|
[29] |
(Liu Qun, Li Sujian.Word Similarity Computing Based on How-net[J]. Chinese Language Processing, 2002, 7(2): 59-76.)
|
[30] |
李峰, 李芳. 中文词语语义相似度计算——基于《知网》2000[J]. 中文信息学报, 2007, 21(3): 99-105.
|
[30] |
(Li Feng, Li Fang.An New Approach Measuring Semantic Similarity in HowNet 2000[J]. Journal of Chinese Information Processing, 2007, 21(3): 99-105.)
|
[31] |
张沪寅, 刘道波, 温春艳. 基于《知网》的词语语义相似度改进算法研究[J]. 计算机工程, 2015, 41(2): 151-156.
doi: 10.3969/j.issn.1000-3428.2015.02.029
|
[31] |
(Zhang Huyin, Liu Daobo, Wen Chunyan.Research on Improved Algorithm of Word Semantic Similarity Based on HowNet[J]. Computer Engineering, 2015, 41(2): 151-156.)
doi: 10.3969/j.issn.1000-3428.2015.02.029
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|