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Process."],"published-print":{"date-parts":[[2023,10,31]]},"abstract":"<jats:p>In the era of digital information, ensuring the accuracy and reliability of information is crucial, making fact-checking a vital process. Currently, English fact-checking has thrived due to various language processing tools and ample datasets. However, the same cannot be said for Vietnamese fact-checking, which faces significant challenges due to the lack of such resources. To address these challenges, we propose a model for checking Vietnamese facts by synthesizing three popular technologies: Knowledge Graph (KG), Datalog, and KG-BERT. The KG serves as the foundation for the fact-checking process, containing a dataset of Vietnamese information. Datalog, a logical programming language, is used with inference rules to complete the knowledge within the Vietnamese KG. KG-BERT, a Deep Learning (DL) model, is then trained on this KG to rapidly and accurately classify information that needs fact-checking. Furthermore, to put Vietnamese complex sentences into the fact-checking model, we present a solution for extracting triples from these sentences. This approach also contributes significantly to the ease of constructing foundational datasets for the Vietnamese KG. To evaluate the model's performance, we create a Vietnamese dataset comprising 130,190 samples to populate the KG. Using Datalog, we enrich this graph with additional knowledge. The KG is then utilized to train the KG-BERT model, achieving an impressive accuracy of 95%. Our proposed solution shows great promise for fact-checking Vietnamese information and has the potential to contribute to the development of fact-checking tools and techniques for other languages. Overall, this research makes a significant contribution to the field of data science by providing an accurate solution for fact-checking information in Vietnamese language contexts.<\/jats:p>","DOI":"10.1145\/3624557","type":"journal-article","created":{"date-parts":[[2023,9,16]],"date-time":"2023-09-16T10:55:00Z","timestamp":1694861700000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Fact-checking Vietnamese Information Using Knowledge Graph, Datalog, and KG-BERT"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1626-0531","authenticated-orcid":false,"given":"Huong T.","family":"Duong","sequence":"first","affiliation":[{"name":"University of Information Technology - Vietnam National University Ho Chi Minh City"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8273-8257","authenticated-orcid":false,"given":"Van H.","family":"Ho","sequence":"additional","affiliation":[{"name":"FPT University Ho Chi Minh City"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6475-8716","authenticated-orcid":false,"given":"Phuc","family":"Do","sequence":"additional","affiliation":[{"name":"University of Information Technology - Vietnam National University Ho Chi Minh City"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,13]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3395046"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.549"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM55673.2022.10068653"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00671-6_39"},{"key":"e_1_3_1_6_2","unstructured":"Jurie J. 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