Advertisement

Ontology-Based Classifiers for Wikipedia Article Quality Classification

  • Kanchana Saengthongpattana
  • Thepchai Supnithi
  • Nuanwan SoonthornphisajEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 807)

Abstract

Quality of Wikipedia article is the main issues that need to be solved. This research proposes the ontology-based classification framework that considers the quality of article in term of its comprehensive content which is one of the properties for featured and good articles in Thai Wikipedia. We create concepts or main ideas of articles in three domains using ontology as a knowledge representation. Knowledge based are created using OAM tool that do data mapping and classify the quality of articles via set of rules. We have investigated the ontology approach which combined Naïve Bayes classifier and found that the precision of our proposed method outperform traditional Naïve Bayes for two times.

Keywords

Ontology Thai Wikipedia Concept feature Naïve Bayes Classifier 

Notes

Acknowledgements

This research is supported by Kasetsart University Research and Development. (KURDI). We would like to thank Language and Semantic Technology Laboratory, NECTEC for providing the platform for ontology development. Special thank goes to Dr. Marut Buranarach for his technical support.

References

  1. 1.
    Al-Rajebah, N.I., Al-Khalifa, H.S., Al-Salman, A.M.S.: Exploiting Arabic Wikipedia for automatic ontology generation: a proposed approach. In: International Conference on Semantic Technology and Information Retrieval (STAIR), pp. 70–76 (2011)Google Scholar
  2. 2.
    Betancourt, G.G., Segnine, A., Trabuco, C., Rezgui, A., Jullien, N.: Mining team characteristics to predict Wikipedia article quality. In: Proceedings of the 12th International Symposium on Open Collaboration, pp. 1–9. ACM, Berlin (2016)Google Scholar
  3. 3.
    Buranarach, M., Supnithi, T., Thein, Y.M., Ruangrajitpakorn, T., Rattanasawad, T., Wongpatikaseree, K., Lim, A.O., Tan, Y., Assawamakin, A.: OAM: an ontology application management framework for simplifying ontology-based semantic web application development. Int. J. Softw. Eng. Knowl. Eng. 26, 115–146 (2016)CrossRefGoogle Scholar
  4. 4.
    Calzada, G.D.l., Dekhtyar, A.: On measuring the quality of Wikipedia articles. In: Proceedings of the 4th Workshop on Information Credibility, pp. 11–18. ACM, Raleigh (2010)Google Scholar
  5. 5.
    Chevalier, F., Huot, S., Fekete, J.D.: WikipediaViz: conveying article quality for casual Wikipedia readers. In: IEEE Pacific Visualization Symposium, pp. 49–56 (2010)Google Scholar
  6. 6.
    Dalip, D.H., Santos, R.L., Renn, D., Oliveira, Val, Amaral, r.F., Andr, M., Gon, alves, Prates, R.O., Minardi, R.C.M., Almeida, J.M.d.: GreenWiki: a tool to support users’ assessment of the quality of Wikipedia articles. In: 11th Annual International ACM/IEEE Joint Conference on Digital Libraries, pp. 469–470. ACM, Ottawa (2011)Google Scholar
  7. 7.
    Dang, Q.V., Ignat, C.-L.: Quality assessment of Wikipedia articles without feature engineering. In: 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, pp. 27–30. ACM, Newark (2016)Google Scholar
  8. 8.
  9. 9.
    Harpalani, M., Phumprao, T., Bassi, M., Hart, M., Johnson, R..: Wiki Vandalysis - Wikipedia vandalism analysis. In: Lab Report for PAN at CLEF (2010)Google Scholar
  10. 10.
    Hartig, O.: SQUIN: a traversal based query execution system for the web of linked data. In: ACM SIGMOD International Conference on Management of Data, pp. 1081–1084. ACM, New York (2013)Google Scholar
  11. 11.
    Javanmardi, S.: Measuring Content Quality in User Generated Content Systems: A Machine Learning Approach. Information and Computer Science University of California, Irvine, ProQuest Dissertations (2011)Google Scholar
  12. 12.
    Kozaki, K., Kitamura, Y., Ikeda, M., Mizoguchi, R.: Hozo: an environment for building/using ontologies based on a fundamental consideration of “Role” and “Relationship”. In: 13th International Conference of Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web, pp. 213–218. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  13. 13.
    Li, X., Tang, J., Wang, T., Luo, Z., de Rijke, M.: Automatically assessing Wikipedia article quality by exploiting article–editor networks. In: 37th European Conference on IR Research, pp. 574–580, Springer, Cham (2015)Google Scholar
  14. 14.
    Pan, J.Z., Thomas, E., Sleeman, D.: Ontosearch2: searching and querying web ontologies. In: Proceedings of the IADIS International Conference, pp. 211–218 (2006)Google Scholar
  15. 15.
    Saengthongpattana, K., Soonthornphisaj, N.: Thai Wikipedia quality measurement using fuzzy logic. In: The 26th Annual Conference of the Japanese Society for Artificial Intelligence (2012)Google Scholar
  16. 16.
    Saengthongpattana, K., Soonthornphisaj, N.: Assessing the quality of Thai Wikipedia articles using concept and statistical features. In: Rocha, Á., Correia, A.M., Tan. F.B., Stroetmann, K.A. (eds.) New Perspectives in Information Systems and Technologies, vol. 1, pp. 513–523. Springer, Cham (2014)Google Scholar
  17. 17.
    Sciascio, C.d., Strohmaier, D., Errecalde, M., Veas, E.: WikiLyzer: interactive information quality assessment in Wikipedia. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces, pp. 377–388. ACM, Limassol (2017)Google Scholar
  18. 18.
    Suzuki, Y., Nakamura, S.: Assessing the quality of Wikipedia editors through crowdsourcing. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 1001–1006. Canada (2016)Google Scholar
  19. 19.
    Tamagawa, S., Sakurai, S., Tejima, T., Morita, T., Izumi, N., Yamaguchi, T.: Learning a large scale of ontology from Japanese Wikipedia. In: International Conference on Web Intelligence and Intelligent Agent Technology. pp. 279–286. IEEE/WIC/ACM (2010)Google Scholar
  20. 20.
    หน้าหลัก. https://th.wikipedia.org/wiki/หน้าหลักGoogle Scholar
  21. 21.
    วิกิพีเดีย:บทความคัดสรร. https://th.wikipedia.org/wiki/วิกิพีเดีย:บทความคัดสรรGoogle Scholar
  22. 22.
    Tzekou, P., Stamou, S., Kirtsis, N., Zotos, N.: Quality assessment of Wikipedia external links. In: The 7th International Conference on Web Information Systems and Technologies, pp. 248–254. Noordwijkerhout, Netherlands (2011)Google Scholar
  23. 23.
  24. 24.
  25. 25.
  26. 26.
  27. 27.
  28. 28.
    สถิติ. https://th.wikipedia.org/wiki/พิเศษ:สถิติGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kanchana Saengthongpattana
    • 1
    • 2
  • Thepchai Supnithi
    • 1
  • Nuanwan Soonthornphisaj
    • 2
    Email author
  1. 1.Language and Semantic Technology LaboratoryNational Electronics and Computer Technology Center (NECTEC)PathumthaniThailand
  2. 2.Department of Computer Science, Faculty of ScienceKasetsart UniversityBangkokThailand

Personalised recommendations