01
Semantic intelligence
Semantic information retrieval, knowledge-based modeling, and semantic data processing.
COMPUTER SCIENCE · NARESUAN UNIVERSITY
Associate Professor, Ph.D.
Kraisak
Kesorn.
Research in semantic intelligence
and knowledge-based learning.
My research explores how semantic information, ontologies, and domain knowledge can improve information retrieval, machine learning, and disease forecasting.
Faculty of Science, Naresuan UniversityPhitsanulok, Thailand
RESEARCH · KNOWLEDGE · IMPACT
Knowledge into intelligenceSEMANTIC · DATA · HEALTH
01 / ACADEMIC PROFILERESEARCH FOCUS
Semantic Intelligence ✳ Knowledge-based Systems ✳ Health Data Science ✳ Machine Learning
01 / ABOUT
Research & academic background.
Bringing computer science and healthcare together through interdisciplinary research.
Dr. Kraisak Kesorn is an Associate Professor at Naresuan University, Thailand. He holds a Ph.D. in Electronic Engineering and Computer Science from Queen Mary University of London, United Kingdom.
His research spans semantic information retrieval, knowledge-based modeling, semantic data processing, and data science for biomedical and health information. His work has received support from the Thailand Research Fund and Naresuan University.
Web of ScienceEducation
2010
Ph.D. · Electronic Engineering and Computer Science
Queen Mary University of London
2003
M.Sc. · Information Technology
King Mongkut’s Institute of Technology Ladkrabang
1994
B.Sc. · Computer Science
Chiang Mai University
02 / RESEARCH
Research interests
& directions.
Connecting semantic computing and machine learning with research questions in health, multimedia, tourism, and agriculture.
02
Knowledge-driven learning
Ontologies and knowledge bases for decision trees, random forests, and intelligent prediction.
03
Health data science
Data science for biomedical information, disease forecasting, and public health applications.
04
Semantic multimedia retrieval
Visual-word representations, multimodal information, and semantic models for image annotation and retrieval.
Funded research & project experience34 projects
Project titles are translated from the supplied CV. Select Thai for the original titles.
2012Image representation, cross-language retrieval and plagiarism detection
- Improving image semantic representation using bag-of-words techniques (project leader)
- Thai–English cross-language information retrieval for Thai users (project leader)
- Concept-based plagiarism detection for Thai documents (project leader)
2013Dengue prevention, tourism recommendations and teaching resources
- Business intelligence for dengue prevention and control (program director and project leader)
- Personalized tourist attraction recommendation system (project leader)
- Developing an information retrieval e-book with iBook (project leader)
2014Video analysis for road accident detection
- Video analysis techniques for road accident detection (project leader)
2015Tourist interests, biometric identification and tourism ontologies
- Using social network information to identify tourist interests (project leader)
- Specifications and architecture for uncontrolled biometric identification (co-investigator)
- Cultural tourism ontology for a semantic web in Lower Northern Thailand Cluster 1 (co-investigator)
2016Crime news, semantic tourism, plagiarism detection and dengue data warehouses
- Online news processing to support crime prevention decisions (project leader)
- Semantic web for tourism in Lower Northern Thailand with natural-language search (co-investigator)
- WSRL techniques for Thai academic plagiarism detection (co-investigator)
- Addressing insufficient tourist-interest data using Facebook information (co-investigator)
- Towards Semantic Data Warehouse for Dengue Fever Information — TRF early-career research support, year 1
2017Semantic data warehouses for dengue information
- Towards Semantic Data Warehouse for Dengue Fever Information — TRF early-career research support, year 2
2018Semantic data imputation, star schemas and Zika transmission
- Semantic data imputation techniques (research leader)
- Ontology-based automated star-schema construction for dengue information
- Factors affecting Zika virus transmission, year 1
2019Ontology-based malaria and dengue forecasting
- Ontology-assisted data analysis and forecasting for malaria and dengue
2020Zika control, disease forecasting and global partnership
- Factors affecting Zika transmission for effective disease control (HSRI)
- Ontology-based data analysis and forecasting for malaria and dengue
- Global Partnership, fiscal year 2020, supported by Thailand Science Research and Innovation
2021Knowledge-based learning and tourist movement analysis
- Particle swarm optimization and ontologies for improving machine-learning data
- Knowledge-based enhancement of decision tree classification
- Tourist behavior and movement patterns in Lower Northern Thailand Cluster 1
2022Semantic prediction for soybean disease, dengue and COVID-19
- Controlling and predicting soybean disease outbreaks with semantic decision trees
- Semantic time-series techniques for dengue outbreak prediction
- COVID-19 management using ontology knowledge
2023Intelligent COVID-19 screening and case prediction
- Intelligent systems for screening tourists at risk of COVID-19 and predicting case numbers
2024Semantic random forests and time-series prediction
- Patient screening using semantic random forests and COVID-19 knowledge
- Intelligent COVID-19 forecasting using time series and semantic variables
2025Satellite imagery, ontologies and machine learning for rice growth
- Classifying rice cultivation areas by growth stage in the Lower Ping River Basin using high-resolution satellite imagery and ontologies
- Identifying rice growth stages using advanced machine learning
03 / PUBLICATIONS
Research, in print.
Explore the publications listed here, or visit Google Scholar for additional publications and citation information.
27 publications
01
2026 In press
Siripen Dabphet, Kraisak Kesorn. (2026). Beyond romance: unveiling the motivational dimensions and data-driven segments of international honeymoon travel behavior, In Press, https://doi.org/10.1108/CBTH-10-2025-0309
View publication02
2026
Sorawat Prapanitisatian, Kraisak Kesorn, (2026). Rice-growth-stage classification under persistent cloud using optical–synthetic aperture radar fusion and phenology-aware imputation, 30(4), 81. https://doi.org/10.1007/s10596-026-10450-5
View publication03
2025
S Chanmee, K Kesorn*, (2025). A smarter forest: Enhancing cardiovascular risk prediction using a knowledge-based random forest. Science, Engineering and Health Studies, 25020007-25020007. Doi: https://doi.org/10.69598/sehs.19.25020007
View publication04
2025
Chanmee, S., Juraphanthong, W., & Kesorn, K.* (2025). Advancing COVID-19 data classification and prediction: A fresh perspective from an ontological machine–learning algorithm. Expert Systems with Applications, 279, 127592. Doi: https://doi.org/10.1016/j.eswa.2025.127592
View publication05
2025
Juraphanthong, W., & Kesorn, K.* (2025). Autoregressive integrated moving average with semantic information: An efficient technique for intelligent prediction of dengue cases. Engineering Applications of Artificial Intelligence, 143, 109985. Doi: https://doi.org/10.1016/j.engappai.2024.109985
View publication06
2025
S Chanmee, K Kesorn, S Dabphet.* (2025). Empowering Effective Inter and Intra Resource Management through Social Network-Driven Tourist Movement Analysis. ICIC Express Letters Part B: Applications, 16(4), 351-358. Doi: https://doi.org/10.24507/icicelb.16.04.351
View publication07
2024
S Chanmee, K Kesorn.* (2024). COVID-19 Cases Classification Using a Semantic Decision Forest Method. ICIC Express Letters Part B: Applications 15 (11), 1175-1182. Doi: https://doi.org/10.24507/icicelb.15.11.1175
View publication08
2024
Juraphanthong, W., & Kesorn, K. (2024). The Intelligent Approach of Auto-Regressive Integrated Moving Average with eXogenous Semantic (ARIMAXS) Variables for COVID-19 Incidence Prediction. ICIC Express Letters Part B: Applications, 15(2), 207–216. Doi: https://doi.org/10.24507/icicelb.15.02.207S.
View publication09
2023
Chanmee, K. Kesorn*, (2023). Semantic decision Trees: A new learning system for the ID3-Based algorithm using a knowledge base. Advanced Engineering Informatics 58, 102156. Doi: https://doi.org/10.1016/j.aei.2023.102156 (Scopus, Q1)
View publication10
2022
Chanmee, S., & Kesorn, K.* (2022). Exploiting a knowledge base for intelligent decision tree construction to enhance classification power. Engineering and Applied Science Research, 49 (4), 545-561. Doi: https://doi.org/ 10.14456/easr.2022.53 (Scopus, Q3)
View publication11
2021
Juraphanthong, W., and K. Kesorn*. 2021. Time Series Data Enrichment Using Semantic Information for Dengue Incidence Forecasting. Science, Engineering and Health Studies 15:21050013–21050013. Doi: https://doi.org/10.14456/sehs.2021.50 (Scopus, Q4).
View publication12
2021
Non Sanprasit. Taravichet Titijaroonroj. and Kraisak Kesorn*. (2021). A semantic approach to automated design and construction of star schemas. Engineering and Applied Science Research 2021; 48(5):518-528. Doi: https://doi.org/10.14456/easr.2021.54 (Scopus, Q3)
View publication13
2021
Sanprasit, N., Jampachaisri, K., Titijaroonroj, T., Kesorn, K.*. (2021). Intelligent Approach to Automated Star-schema Construction using a Knowledge base. Expert Systems with Applications. 18(15). 115226. Doi: https://doi.org/10.1016/j.eswa.2021.115226 (ISI, Scopus Q1)
View publication14
2021
Chanmee, S., Kesorn, K.*. (2021). Semantic Data Mining in the Information Age: A Systematic Review. International Journal of Intelligent System. 1-37. Doi: https://doi.org/10.1002/int.22443 (ISI, Scopus Q1)
View publication15
2020
Kamkhad, N., Jampachaisri, K., Siriyasatien, P., Kesorn, K.*. 2020. Toward semantic data imputation for a dengue dataset. Knowledge-Based Systems. 196(2020). Doi: 10.1016/j.knosys.2020.105803 (ISI, Scopus Q1)
View publication16
2020
Chanmee, S., Kesorn K.*. 2020. Data Quality Enhancement for Decision Tree Algorithm using Knowledge-Based Model. Current Applied Science and Technology. 20(2). 259-277. Doi:10.14456/cast.2020.15 (Scopus Q4)
View publication17
2018
Massagram W., Prapanitisatian S., Kesorn K.*. (2018). A novel technique for Thai document plagiarism detection using syntactic parse trees. Engineering and Applied Science Research, 45(4), 290-300. (Scopus Q4) (December, 2018)
18
2018
Siriyasatien P., Chadsuthi S., Jampachaisri K., Kesorn K.*. (2018). Dengue Epidemics Prediction: A Survey of the State-of-the-Art based on Data Science Processes. IEEE Access, 6, 53757 - 53795. https://10.1109/ACCESS.2018.2871241 (ISI, Scopus) (November, 2018)
View publication19
2017
Kesorn K.*, Juraphanthong W., Salaiwarakul, A. (2017). Personalized Attraction Recommendation System for Tourists through Check-In Data. IEEE Access, 5, 26703–26721. doi:10.1109/ACCESS.2017.2778293 (ISI, Scopus) (October, 2017)
View publication20
2017
Netsuwan, T., Kesorn, K., Unify framework for crime data summarization using RSS feed service, Walailak Journal of Science and Technology, 2017, 14(10Special Issue), pp. 769–781
21
2016
Siriyasatien P., Phumee A., Ongruk P., Jampachaisri K., Kesorn K*. (2016). Analysis of Significant Factors for Dengue Fever Incidence Prediction, BMC Bioinformatics, 17(166): doi:10.1186/s12859-016-1034-5. (ISI, Scopus)
View publication22
2015
Kesorn K.*, Ongruk P., Chompoosri J., Phumee A., Thavara U., Tawatsin A., Siriyasatien P. (2015). Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) using the Support Vector Machine and the Aedes Aegypti Infection Rate in Similar Climates and Geographical Areas. PLoS ONE 10(5): e0125049. doi:10.1371/journal.pone.0125049 (ISI , Scopus)
View publication23
2014
Stefan Poslad and Kraisak Kesorn, (2014), A Multi-Modal Incompleteness Ontology Model (MMIO) to Enhance Information Fusion for Image Retrieval Information Fusion Vol. 40, pp. 225-241. (Indexed by ISI, IF=2.26)
24
2012
Kesorn K.,S., Poslad (2012),, An Enhanced Bag of Visual Word Vector Space Model to Represent Visual Content in Athletics Images, IEEE Transactions on Multimedia, 14(1), 1520-1531. (Impact Factor 2010=1.964)
25
2011
Kesorn K.,Chimlek, S., Poslad, S., & Piamsa-nga, P. (2011),, Visual Content Representation using Semantically Similar Visual Words. Expert Systems with Applications, 38(9), 11472-11481. (ISI, Impact Factor 2011=2.234)
26
2009
Kesorn K., Poslad, S. “Enhanced Sports Image Annotation and Retrieval Based upon Semantic Analysis of Multimodal Cues”, In IEEE/ACM SIG Multimedia Proceedings of the 3rd Pacific-Rim Symposium on Image and Video Technology (PSIVT2009), Tokyo, Japan, 14-16 January, 2009.
27
2009
Kesorn K., Poslad, S., Semantic Restructuring of Natural Language Image Captions to Enhance Image Retrieval, Journal of Multimedia (JMM), Vol.4, Issue 5, October 2009, pp.284-297.
No publications match your search. Try another keyword or year.
Publication metadata follows the updated CV, including 2026 entries. Original article titles are retained in English.
04 / TEACHING
Sharing knowledge.
Shaping perspectives.
Courses in computing, information systems, and data-driven decision-making.
254374
System Analysis and Design
269524
Decision Support Systems and Business Intelligence
254486
Data Science
05 / RECOGNITION & SERVICE
Recognized contributions.
Honors & awards
- Best paper award InCIT 2024, Japan
- Best presentation awards AJCC, 2021, Thailand
- National Research Awards 2017, Thailand
- Best paper awards in the InCIT2016, Krabi, Thailand
- Best presentation awards in the 5th KKU-IENC 2014
- Best paper awards in the 6th Science 2014, BU, Chonburi, Thailand
- Best paper awards in the 4th KKU-IENC 2012
- Best paper awards in the 4th Science Conference
- NU 2012 Best paper awards in CENTRIC 2009
Academic peer review
Reviewer for international journals across computing, intelligent systems, and health.
- ACM Transactions on Information System
- ACM Transactions on Asian and Low-Resource Language Information Processing
- IEEE Transactions on Systems, Man, and Cybernetics, Part A
- IEEE Signal Processing Letter
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- IEEE Access
- IET Image Processing
- Knowledge-based Systems
- International Journal of Pattern Recognition and Artificial Intelligence
- ECTI-Computer and Information Technology
- Applied Computing and Informatics
- Current Applied Science Research
- Expert Systems with Applications
- Tropical Medicine & International Health
- Information Processing and Management
- Information Science
06 / CONTACT
Let’s connect
through knowledge.
For research discussions, academic exchange, and enquiries related to the research interests presented here.
kraisakk@nu.ac.thDepartment of Computer Science
and Information Technology
Faculty of Science, Naresuan University
Thailand
OFFICE+66 55 963 267