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An ontology-based knowledge modeling for the rite of Bai Sri Su Kwan: a ritual of the Greater Mekong Subregion Hoaihongthong, Suwannee; Chaichuay, Vispat; Kwiecien, Kanyarat
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp788-797

Abstract

The development of ontologies is crucial in digital humanities research. This study focuses on creating a system to extract meaning from knowledge related to the Bai Sri Su Kwan ritual. Addressing semantic gaps, the second phase of our research outlines methods for developing an ontology for Bai Sri Su Kwan rituals. To fully understand this significant ritual in the Mekong Basin, we employed a theoretical framework with seven ontology development steps, using the Hozo Ontology Editor. Our ontology includes nine main classes: Bai Sri Su Kwan (A ritual subclass), persons, chants, belief, purpose, wish, literature, locations, and equipment. The Bai Sri Su Kwan subclass connects with all other classes in the ontology. This ontology forms the basis for a meaning search system for the Bai Sri Su Kwan ceremony in future research stages. The ontology was evaluated syntactically through human assessment and the OOPS! Ontology Pitfall Scanner. Validation results for the Bai Sri Su Kwan Ontology show no pitfalls in critical dimensions, indicating high integrity and reliability.
Korean-popular Facebook fan page analytics in Thailand Chansanam, Wirapong; Tuamsuk, Kulthida; Kwiecien, Kanyarat; Oh, Sam Gyun
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5291-5303

Abstract

The purpose of this study was to gather, analyze, and elaborate big data on Facebook’s essential information, with a specific focus on the information obtained from Korean-popular (K-Pop) fan pages on the social networking site. For this analysis, a total of 3,531,736 comments by Korean-pop fans were gathered from various K-pop Facebook pages. In order to interpret how 11 extremely popular Facebook pages shape Thai fans’ enthusiasm for the South Korean music industry, descriptive statistics and visualization analysis were employed. Finally, data analytics and correlation analysis were used to evaluate the essential understanding of the Facebook pages. The research revealed three key findings: i) K-pop fan pages provide more opportunities for Thai fans to express their support for K-pop artists and advocate for causes, ii) K-pop fan pages provide more opportunities for Thai fans to communicate with K-pop artists, and iii) K-pop fan pages build opportunities for Thai fans to establish a more glamorous online presence despite limitations concerning financial resources, foreign language skills, and opportunities. In the future, the research outcomes may be valuable for academic studies and practice.
Strategic Information Needs (SIN) based on Demographic and the Regional Competitiveness Index in Supporting Public Library Services to Achieve SDGs (Comparative Study in Seven Provinces with the Highest RCI/IDSD Scores in Indonesia) Widiyawati, Anita Tri; Kwiecien, Kanyarat; Nguyen, Lan Thi
Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Vol. 10 No. 1 (2026): Tibanndaru: Jurnal Ilmu Perpustakaan dan Informasi
Publisher : Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/tb.v10i1.5353

Abstract

Purpose Research. The uneven distribution of demographic characteristics and regional competitiveness across Indonesian provinces creates structurally differentiated information needs that existing public library services have yet to address systematically. Although the Regional Competitiveness Index (RCI/IDSD) developed by BRIN provides a comprehensive twelve-pillar framework for assessing regional development performance, no prior study has integrated this instrument with demographic analysis to map strategic information needs comparatively across high-performing provinces, leaving a critical gap in both theoretical and policy literature on information services within decentralized governance contexts. Research Method. This study employed a qualitative descriptive design combining document analysis and comparative analysis. Secondary data is drawn from demographic data of each province from the Central Statistics Agency, IDSD data from BRIN in 2025, and supporting peer-reviewed literature. Data collection was followed by content analysis, the construction of a structured comparative matrix, typological clustering, and interpretive synthesis. Analysis Data. Data were analyzed in three sequential stages: content analysis, comparative and typological analysis, and strategic synthesis, validated through source triangulation and standardized conceptual categories. Results. Four distinctive typologies emerged: Metropolitan Formal, Tourism-Cultural, Urban Buffer, and Agrarian-Inclusive, each corresponding directly to measurable SDG attainment gaps across SDGs 1, 2, 3, 4, 8, 9, 10, 11, and 17. At the same time, SDG 6, 7, 13, 14, and 15 remained unreachable due to IDSD's inherent environmental blind spots. Conclusion. Strategic information needs are systemically differentiated, requiring asymmetric library interventions. Future research should develop a library-readiness index that integrates all 12 IDSD pillars and incorporates environmental indices to achieve holistic coverage of the SDGs. Keywords: Information Needs; Regional Competitiveness Index; Demographic Analysis; Public Library; Sustainable Development Goals