An Improved Semantic Similarity Algorithm on Hownet

Kaiji LIAO, Yingying BI


Semantic similarity algorithm is one of the basic researches in the field of natural language processing. This algorithm is widely used in information retrieval, machine translation based on examples and other fields. In this paper, based on the basis of HowNet lexical semantic similarity algorithm, introduced the concept of fuzzy mathematics degree of membership, the fixed weighting factor assigned into a coefficient of variation based on statistics through experimental verification of the results of this improved contribution.


Semantic similarity; HowNet; Fuzzy mathematics; Membership

Full Text:



Christopher, D., & Manning, P. R. (2006). An approach for measuring semantie simllarlty between words using multipleinformation source retrieval. Cambridge University Press, Cambridge, England.

Ge, B. (2010). The study of word semantic similarity calculation method based on HowNet. Application Research of Computer, (9)

Gong, S. J. (2011). A personalized recommendation algorithm on integration of item semantic similarity and item rating similarity. Journal of Computers, (6), 1047-


Han, L. X., Sun, G. H., & Chen, L. X. (2006). An approach to determining semantic similarity. Advances in Engineering Software, 37, 129–132

Janowicz, K., Raubal, M., Schwering, A., & Kuhn, W. (2008). Semantic similarity measurement and geospatial applications. Transactions in GIS, 12(6), 65-659.

Jeong, B. W., Lee, D. W., Cho, H. B., & Jaewook Lee, J. (2008). A novel method for measuring semantic similarity for XML schema matching. Expert Systems With Applications, 34, 1651-1658

Jiang, M., Xiao, S. B., & Wang, H. W., et al. (2008). An improved word semantic similarity based on HowNet. Chinese Information Technology, 22(3), 84-89.

Lei, L. Q., & Gu, X. F. (2010).Words similarity algorithm based on HowNet. Chinese Information Technology, 24(6), 31-36.

Li, L., Xue, F., & Ren, Z. S. (2009). An improved word similarity calculation method based on HowNet. Computer Applications, 29(1), 217-220

Li, F., & Li F. (2007). Chinese word semantic similarity calculation based on HowNet. Chinese Information Technology, 2(3), 99-105.

Liu, Q., & Li, S. J. (2002). Papers: Word similarity computing based on how-net (pp.59-76). The third Chinese lexical semantics seminar proceedings. Taipei: [s. n. ].

Maguitman, A. G., Menczer, F., Erdinc, F., Roinestad, H., & Vespignani, A. (2006). Algorithmic computation and approximation of semantic similarity. World Wide Web, 9, 431-456.

Pan F. (2010). Matching strategy based on multi-mode fuzzy decision. China: Shandong University, School of Computer Science and Technology.

Wang, X. L. (2011). An improved words similarity algorithm based on Hownet. Computer Applications, (11).

Yang, L. B., Gao, Y. Y., & Ling, W. L. (2011). Fuzzy mathematical theory and application. Guangzhou: South China University of Technology Press.

Zadeh, L. A. (1968). Fuzzy algorithms. Information and Control, 12, 94-102.



  • There are currently no refbacks.

Copyright (c)

Share us to:   


  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.

We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:;;

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).


Address:1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.

Telephone: 1-514-558 6138
Http:// Http://

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures