[논문]Development of Ontology for Thai Country Songs

Thunyaluk, Jaitiang; Malee, Kabmala; Wirapong, Chansanam

doi:10.1633/jistap.2023.11.1.6

Development of Ontology for Thai Country Songs 원문보기

Journal of information science theory and practice : JISTaP, v.11 no.1, 2023년, pp.79 - 88

Thunyaluk, Jaitiang (Department of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University) , Malee, Kabmala (Department of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University) , Wirapong, Chansanam (Department of Information Science, Faculty of Humanities and Social Sciences, Khon Kaen University)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (11)

표 Table 1. List of terms and properties in a song's class
표 Table 2. List of main classes and definitions
그림 Fig. 1. Development of a Semantic Web using Ontology Application Management (OAM) Framework. Source: Buranarach, 2017.
그림 Fig. 2. The ontology of Thai country songs using HoZo- Ontology Editor.
그림 Fig. 3. Ontology data in an OWL format.
그림 Fig. 4. Class relationship settings.
그림 Fig. 5. Columns and relationships in subclasses of ontology and data from the ontology of MySQL.
그림 Fig. 6. API setting for data search in the ontology database.
그림 Fig. 7. Keyword search form.
그림 Fig. 8. Advanced search form.
표 Table 3. Effectiveness evaluation from the experts

AI 본문요약
AI-Helper

제안 방법

The construction and evaluation of an ontology for Thai country songs, which consists of nine classes and allows users to search for songs based on a variety of parameters, was carried out here. This provides evidence that the system was well-designed and is suitable for use by academics and songwriters for the purposes of conducting research and instructing students.
The researchers developed an ontology of Thai country songs consisting of nine classes. The main feature of this ontology is that users can search for songs according to provided classes: song, singer, emotion, author, language used, language type, song style, originality, and content.

대상 데이터

7 shows an example of a keyword search from the song’s class using “love” as a keyword. There are three entries found from 150 sample entries with details.

성능/효과

28 percent. According to the results, it shows that the Semantic Web is practical and effective.
Additionally, it is worth mentioning that the use of ontologies in digital libraries aligns with previous findings in the field, which have shown the potential for ontologies to expand keyword searches and serve as semantic tools for understanding the meaning, sound, and local characteristics of songs. This study also highlights the benefits of utilizing ontologies in digital libraries, such as adaptability, collaboration, and the ability to retrieve contextually relevant content.
First, users can use keyword search and advanced search functions, and then the search will reach semantic search via Web API & Web Service, as in Fig
This ontology is consistent with the findings of other studies, which found that ontologies can be useful for expanding keyword searches and as semantic tools for understanding the meaning, sound, and local characteristics of songs located in a digital library. In addition, using ontologies in digital libraries improves flexibility, cooperation, and makes retrieval of relevant content for a given context easier.
No potential conflict of interest relevant to this article was reported.
Regarding keyword entry and results, the researchers developed a web application with Java where users can search and get all the information through Web API. The web application will send the information to the Semantic Web of the OAM Framework and show the search results via the web application.
The precision degree is 92.59 percent, the recall degree is 86.21 percent, and the overall effectiveness (F-measure) is 89.28 percent. According to the results, it shows that the Semantic Web is practical and effective.
The main feature of this ontology is that users can search for songs according to provided classes: song, singer, emotion, author, language used, language type, song style, originality, and content. The system was evaluated by domain experts and gained a precision degree of 92.59 percent, a recall degree of 86.21 percent, and an overall effectiveness degree (F-measure) of 89.28 percent. The high effectiveness degree demonstrates that the system was processed carefully regarding the needs analysis and development phase.
Additionally, it is worth mentioning that the use of ontologies in digital libraries aligns with previous findings in the field, which have shown the potential for ontologies to expand keyword searches and serve as semantic tools for understanding the meaning, sound, and local characteristics of songs. This study also highlights the benefits of utilizing ontologies in digital libraries, such as adaptability, collaboration, and the ability to retrieve contextually relevant content.
This study determined the scope of song, singer, emotion, author, language used, language type, song style, original, and content.

후속연구

For the advancement of investigation, it has been suggested that additional sources should be mapped in order to broaden the ontology. Additionally, research on evaluating ontologies through technology to lessen the amount of work that requires specialists might be an option to take into consideration for a future strategy. Overall, the present study provides a concise and extensive account of the construction and evaluation of a Thai country song ontology, and underlines the potentiality of the ontology for scholars and songwriters working on the subject.
This suggests that future research could focus on incorporating additional sources in order to broaden the ontology and enhance its usefulness. Another avenue for future research could be the evaluation of ontologies through technology, which could reduce the workload on specialists.
However, the study recognizes the limitation of ontology in terms of the lack of diverse data sources. This suggests that future research could focus on incorporating additional sources in order to broaden the ontology and enhance its usefulness. Another avenue for future research could be the evaluation of ontologies through technology, which could reduce the workload on specialists.

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