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- W2904072977 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 Naive Bayes classifier and found that the precision of our proposed method outperform traditional Naive Bayes for two times." @default.
- W2904072977 created "2018-12-22" @default.
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- W2904072977 date "2018-12-19" @default.
- W2904072977 modified "2023-09-27" @default.
- W2904072977 title "Ontology-Based Classifiers for Wikipedia Article Quality Classification" @default.
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- W2904072977 doi "https://doi.org/10.1007/978-3-319-94703-7_7" @default.
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