A Method Shielding the Chinese Game Webpage Based on Ontology

Article Preview

Abstract:

As online gaming addiction has a serious impact on the healthy growth of young people, this paper presents a method that uses the ontology to shield Chinese game webpage. This method, based on positive example webpages and counter example webpages to calculate weight of feature words, to establish domain feature thesaurus and make ontology; then according to positive example WebPages, calculate weight of ontology elements in all parts of webpage to get ontology element weight database; then intercept webpage from the network application layer, identify candidate webpage (candidate) based on domain feature thesaurus; finally carry out semantic relevancy computing and shielding the game webpages in candidates. Experiments showed the shielding accuracy rate had arrived 98.8%. The principle of the method can be extended to other domains.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

1454-1458

Citation:

Online since:

March 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zeng chun, Xing chunxiao, Zhou lizhu. A Personalized Search Algorithm by Using Content-Based Filtering. Journal of Software, 2003, 14(5): 999-1004. (In Chinese).

Google Scholar

[2] Song hua, Dai yiqi. A New Fast String Matching Algorithm for Content Filtering and Detection. Journal of Computer Research and Development, 2004, 41(6): 940~945. (In Chinese).

Google Scholar

[3] Li qiang, Li jianhua. Method of Filting Reactionary Text Based on Vector Space Model. Computer Engineering, 2006, 32(10): 4-5. (In Chinese).

Google Scholar

[4] Fan xinghua, Sun maosong. A High Performance Two-Class Chinese Text Categorization Method. Chinese Journal of Computers, 2006, 29(1): 124-131. (In Chinese).

Google Scholar

[5] Lee, P. Y., Hui, S. C., Fong, A. C. M., et al. Neural networks for Web content filtering[J]. IEEE Intelligent Systems, 2002, 17(5): 48-57.

DOI: 10.1109/mis.2002.1039832

Google Scholar

[6] Li zhenxing, Lu dajun, Renjicheng, etc. Forecast and Filter Method for Web Page Gathering Based on Latent Sematic Indexing. Journal of Computer Aided Design & Computer Graphics, 2004, 16(1): 142-147. (In Chinese).

Google Scholar

[7] Foltz P. W. Using latent semantic indexing for information filtering[J]. ACM SIGOIS Bulletin, 1990, 11(2-3): 40-47.

DOI: 10.1145/91478.91486

Google Scholar

[8] Kim Y, Nam T. An efficient text filter for adult Web documents[C]//Proc of the 8th International Conterence on Advanced Communication Technology. 2006: 20-22.

DOI: 10.1109/icact.2006.206003

Google Scholar

[9] E. Bozsak, M. Ehrig, S. Handschuh, et al. Kaon-towards a large scale semantic web. In Proceedings of EC-Web, Aix-en- Porvence, France, LNCS 2455 Springer, 2002, pp.304-313.

DOI: 10.1007/3-540-45705-4_32

Google Scholar