@book{3278,
  keywords = {Application, BERT, Chatbot, cultural heritage, machine learning, Ontology, Vietnamese festival},
  author = {N.-K. Chau and T.-T. Ma and Z. Bouraoui and T.-N. Do},
  title = {A Vietnamese Festival Preservation Application},
  abstract = {Preservation and development of intangible cultural heritage are one of the burning problems in rich cultural countries. They are significant characteristics to express the substantial identity of a nation. At present, leading artificial intelligence (AI) into the cultural development strategy is a promising approach to introduce remarkable features to the world community, especially in tourism. However, detecting and discovering the festival knowledge at a local place in a country is not only an exciting problem for travelers but also a challenge for researchers and managers. We, therefore, propose a festival information preservation framework that applied AI techniques to seek and exploit the festival knowledge in Vietnam. We provide a Vietnamese festival lightweight ontology. We investigate and implement a practical application for identifying and mining the Vietnamese festival knowledge in Mekong Delta for the first work. Our initial approach concentrates on providing a Web application that classifies the snapshot and automatically answers questions.},
  year = {2022},
  series = {15th International Conference on Information Technology and Applications, ICITA 2021},
  volume = {350},
  publisher = {Springer Science and Business Media Deutschland GmbH},
  school = {Springer Science and Business Media Deutschland GmbH},
  isbn = {23673370 (ISSN); 9789811676178 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129318650&doi=10.1007%2f978-981-16-7618-5_39&partnerID=40&md5=597d2ff0adc6cd9512233630cef82eea},
  doi = {10.1007/978-981-16-7618-5_39},
  note = {Journal Abbreviation: Lect. Notes Networks Syst. Pages: 460 Publication Title: Lect. Notes Networks Syst.},
  language = {English},
}