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Ontology-Based Classifiers for Wikipedia Article Quality Classification

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Advances in Intelligent Informatics, Smart Technology and Natural Language Processing (iSAI-NLP 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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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.

Author information

Authors and Affiliations

  1. Language and Semantic Technology Laboratory, National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand

    Kanchana Saengthongpattana & Thepchai Supnithi

  2. Department of Computer Science, Faculty of Science, Kasetsart University, Bangkok, Thailand

    Kanchana Saengthongpattana & Nuanwan Soonthornphisaj

Authors
  1. Kanchana Saengthongpattana
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  2. Thepchai Supnithi
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  3. Nuanwan Soonthornphisaj
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Corresponding author

Correspondence to Nuanwan Soonthornphisaj .

Editor information

Editors and Affiliations

  1. Sirindhorn International Institute of Technology (SIIT), Thammasat University, Bangkadi Muang Pathumthani, Thailand

    Thanaruk Theeramunkong

  2. Faculty of Science and Technology, Department of Computer Science, Thammasat University, Pathumthani, Thailand

    Rachada Kongkachandra

  3. Department of Information Technology Management, Faculty of Information Technology , King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand

    Mahasak Ketcham

  4. Department of Computer Engineering, Faculty of Engineering, Mahidol University, Nakorn Pathom, Thailand

    Narit Hnoohom

  5. Faculty of Science and Technology, Department of Computer Science, Thammasat University , Pathum Thani, Thailand

    Pokpong Songmuang

  6. National Science and Technology Development Agency, Language and Semantic Technology Laboratory, National Electronics and Computer Technology Center, Pathum Thani, Thailand

    Thepchai Supnithi

  7. Prince of Songkla University , Phuket, Thailand

    Kiyota Hashimoto

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Saengthongpattana, K., Supnithi, T., Soonthornphisaj, N. (2019). Ontology-Based Classifiers for Wikipedia Article Quality Classification. In: Theeramunkong, T., et al. Advances in Intelligent Informatics, Smart Technology and Natural Language Processing. iSAI-NLP 2017. Advances in Intelligent Systems and Computing, vol 807. Springer, Cham. https://doi.org/10.1007/978-3-319-94703-7_7

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