Development of Ontology for Thai Country Songs
This study aimed to develop an ontology for Thai country songs by using the seven steps of an ontology development process. Hozo-Ontology Editor software and Ontology Application Management Framework were tools used in this study. Nine classes of ontology were identified: song, singer, emotion, auth...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Korea Institute of Science and Technology Information
2023-03-01
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| Series: | Journal of Information Science Theory and Practice |
| Subjects: | |
| Online Access: | https://data.doi.or.kr/10.1633/JISTaP.2023.11.1.6 |
| _version_ | 1827976625886593024 |
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| author | Thunyaluk Jaitiang Malee Kabmala Wirapong Chansanam |
| author_facet | Thunyaluk Jaitiang Malee Kabmala Wirapong Chansanam |
| author_sort | Thunyaluk Jaitiang |
| collection | DOAJ |
| description | This study aimed to develop an ontology for Thai country songs by using the seven steps of an ontology development process. Hozo-Ontology Editor software and Ontology Application Management Framework were tools used in this study. Nine classes of ontology were identified: song, singer, emotion, author, language used, language type, song style, original, and content, and it was found that the song class had a relationship with all of the other classes. The developed ontology was evaluated by seeking opinions from experts in the field of Thai country songs, who agreed that the ontology was highly effective. Additionally, the evaluation employed the knowledge retrieval concept, and the precision, recall, and overall effectiveness were measured, with a precision of 92.59%, a recall of 86.21%, and an overall effectiveness (F-measure) of 89.28%. These results indicate that the developed ontology is highly effective in describing the scope of knowledge of Thai country songs. |
| first_indexed | 2024-04-09T20:38:28Z |
| format | Article |
| id | doaj.art-ebee247daabd41c1a53acc43d89ff552 |
| institution | Directory Open Access Journal |
| issn | 2287-9099 2287-4577 |
| language | English |
| last_indexed | 2024-04-09T20:38:28Z |
| publishDate | 2023-03-01 |
| publisher | Korea Institute of Science and Technology Information |
| record_format | Article |
| series | Journal of Information Science Theory and Practice |
| spelling | doaj.art-ebee247daabd41c1a53acc43d89ff5522023-03-30T06:33:14ZengKorea Institute of Science and Technology InformationJournal of Information Science Theory and Practice2287-90992287-45772023-03-0111110.1633/JISTaP.2023.11.1.6JISTaP.2023.11.1.6Development of Ontology for Thai Country SongsThunyaluk Jaitiang0Malee Kabmala1Wirapong Chansanam2Department of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand E-mail: thanya02523@gmail.comDepartment of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand E-mail: malee_ka@kku.ac.thDepartment of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand E-mail: wirach@kku.ac.thThis study aimed to develop an ontology for Thai country songs by using the seven steps of an ontology development process. Hozo-Ontology Editor software and Ontology Application Management Framework were tools used in this study. Nine classes of ontology were identified: song, singer, emotion, author, language used, language type, song style, original, and content, and it was found that the song class had a relationship with all of the other classes. The developed ontology was evaluated by seeking opinions from experts in the field of Thai country songs, who agreed that the ontology was highly effective. Additionally, the evaluation employed the knowledge retrieval concept, and the precision, recall, and overall effectiveness were measured, with a precision of 92.59%, a recall of 86.21%, and an overall effectiveness (F-measure) of 89.28%. These results indicate that the developed ontology is highly effective in describing the scope of knowledge of Thai country songs.https://data.doi.or.kr/10.1633/JISTaP.2023.11.1.6ontologythai country songssemantic websemantic searchdigital humanities |
| spellingShingle | Thunyaluk Jaitiang Malee Kabmala Wirapong Chansanam Development of Ontology for Thai Country Songs Journal of Information Science Theory and Practice ontology thai country songs semantic web semantic search digital humanities |
| title | Development of Ontology for Thai Country Songs |
| title_full | Development of Ontology for Thai Country Songs |
| title_fullStr | Development of Ontology for Thai Country Songs |
| title_full_unstemmed | Development of Ontology for Thai Country Songs |
| title_short | Development of Ontology for Thai Country Songs |
| title_sort | development of ontology for thai country songs |
| topic | ontology thai country songs semantic web semantic search digital humanities |
| url | https://data.doi.or.kr/10.1633/JISTaP.2023.11.1.6 |
| work_keys_str_mv | AT thunyalukjaitiang developmentofontologyforthaicountrysongs AT maleekabmala developmentofontologyforthaicountrysongs AT wirapongchansanam developmentofontologyforthaicountrysongs |