Purpose of the study: This study aims to develop a research knowledge structure according to problems, needs, and strategies of a community, to search for relationships, and to scope knowledge regarding problems, needs, and strategies of a community, to gather practical problem-solving guidelines, and to reflect and reconfirm existing body of knowledge of a community.

Methodology: This design of this study is content synthesis, knowledge organization as classification approach has been applied to this mixed-method research, the knowledge has been categorized into a tree structure according to the relationships of each concept, and therefore, it shows clear causes and effects also differentiates relationships in scope of related knowledge of the southern development.

Main Findings: The results of this study indicate that the knowledge structure of the research for the development of southern Thailand comprises 2 domains, 20 classes, 139 concepts, and 327 sub-concepts. It will let us see the relationships and trends of knowledge based on the research of southern Thailand by the scope of knowledge that reflects gaps in some research points and can be resolved or reused.

Applications of this study: The findings confirmed that we can develop it to the ontology for a recommender system or knowledge-based system of research for development based on problems, needs, and strategies of community in southern Thailand. It is a search engine tool for researchers on research for southern Thailand development. Further, this could explain more the relationships of information clearly, similarly; the knowledge structure will help the researcher’s study scope area, reduce research redundancy, reduce costs on research redundancy and reconfirm knowledge to conduct research and innovations.

Novelty/Originality of this study: The findings confirmed that it can be applied in terms of the policy area and national strategies, or applied as a part of solutions, for example, the body of research knowledge on tourism and agricultural development which is crucial for the national economy and resource. The government could take the knowledge into account the research or tourism policies, agricultural production as start-ups: Smart Tourism and Smart Agro Technology.


  1. Archint, N. (2014). Handbook of Semantic Web Technologies. Khon Kaen: Klangnanawitaya Press.
  2. Arunmas, A. (2017, August 15). Personal interview. https://doi.org/10.12968/nuwa.2017.Sup23.15
  3. Bean, C. & Green, R. (2001). Relationships in the Organization of Knowledge. London: Kluwer Academic. https://doi.org/10.1007/978-94-015-9696-1
  4. Boonprasaert, U. (1999). Action Research. Bangkok: Office of the Education Council Press.
  5. Chanocha, P. (2017). Thailand moving forward. Bangkok: Ministry of Prime Minister.
  6. Chan, L.M., & Salaba, A (1985). Cataloging and classification: an introduction. NewYork: McGraw-Hill Book.
  7. Choo, C.W. (1996). The knowing organization: How organizations use the information to construct meaning, create knowledge and make decisions.International Journal of Information Management, https://doi.org/10.1016/0268-4012(96)00020-5
  8. Demarest, M. (1997). Understanding knowledge management. Journal of Long Range Planning, https://doi.org/10.1016/S0024-6301(97)90250-8
  9. Frické, M. (2012). Logic and the Organization of Information. NewYork: Springer. https://doi.org/10.1007/978-1-4614-3088-9
  10. Hodge, G. (2000). Systems of knowledge organization of digital libraries: beyond traditional authority files. Washington, DC: Digital Library Federation.
  11. Hotho, A., Jäschke, R., Schmitz, C., & Stumme, G. (2006). Information Retrieval in Folksonomies: Search and Ranking. In Proceeding of the 3rd European Semantic Web Conference: The Semantic Web: Research and Applications (pp. 411-426). London: Springer. https://doi.org/10.1007/11762256_31
  12. Hjørland, B. (2017). Nine Principles of Knowledge Organization. Denmark, Copenhagen: The Royal School of Librarianship.
  13. Iamkhajornvchai, P. (2013). System of cultural knowledge. Information Sciences Journal, 31(1), 93-122.
  14. Kewsuwun,N.,Kwiecien,K.,&SaeChan,C.(2019a).TheSynthesisofProblemNeedsandStrategiesof14Southern Provinces Group Administrative Offices with Correspondence of Academic Branches from National Research Council. Parichart Journal, 32(1), 389-423.
  15. Kewsuwun, N., Kwiecien, K., & Sae Chan, C. (2019b). Knowledge Organization on academic branches of the Research for Development of Southern Thailand. Journal of Engineering and Applied Sciences,14(24), 9766-9773. https://doi.org/10.36478/jeasci.2019.9766.9773
  16. Kewsuwun, N., Kwiecien, K., & Sae Chan, C. (2019c). The Development of Research Recommendation System for Southern Thailand Development. International Journal of Managing Information Technology, https//doi.org/10.5121/ijmit.2019.11402
  17. Lars Marius, G. (2004). Metadata? Thesauri? Taxonomies? Topic Maps! Making Sense of it all. Journal of Information Science, 30(4), https//doi.org/10.1177/0165551504045856
  18. Liebowitz, J., & Robert, W. (1999). Knowledge Management Handbook. NewYork: CRC Press.
  19. Maitaouthong, T. (2014). Information seeking behavior of researchers in Kasikorn Research Center Co., Ltd. Bangkok: Srinakharinwirot University Press.
  20. Mueanrit, N. (2013). The Information Architecture for Research Information Storage and Retrieval. (Unpublished doctoral dissertation). Khon Kaen, Khon Kaen University, Thailand.
  21. Nanuwong, S. (2017, August 13). Personal interview.
  22. ONESDB. (2011). National Economic and Social Development Plan No. 11 2012-2016. Bangkok: Office of the National Economic and Social Development Board Press.
  23. Panawong, J. (2015). Development of Knowledge Base System for Northeastern Thailand. (Unpublished doctoral dissertation). Khon Kaen, Khon Kaen University, Thailand.
  24. Podhisita, C. (2007). Handbook of The science and art of quality research. Bangkok: Institute for Population and Social Research Mahidol University Press.
  25. Prasitrathasin, S. (1998). Handbook of Research Methodology in Social Sciences. Bangkok: Fengfahprinting.
  26. Rowley, J. (1992). Organizing knowledge: an introduction to information retrieval.2nd ed. Hampshire: Ashgate.
  27. Saruno, T. (2017). Regional Data. Bangkok: Bureau of Land Survey and Land Use Planning Land Development Department Press.
  28. Schwartz,GDavid&Te’eni,D.(2011).EncyclopediaofKnowledgeManagement(pp.779-790).Hershey,PA.
  29. Staab, S., & Studer, R. (2009). Handbook on Ontologies. NewYork: Springer. https://doi.org/10.1007/978-3-540-92673-3
  30. Taylor, A.G. (1999). The Organization of Information. Westport: Libraries Unlimited INC.
  31. Tripathy, B.K., & Acharjya, D.P. (2014). Global Trends in Intelligent Computing Research and Development. Hershey: PA of IGIGlobal. https://doi.org/10.4018/978-1-4666-4936-1
  32. Vu, B., Mertens, J., Gaisbachgrabner, K., Fuchs, M., & Hemmje, M. (2018, July). Supporting taxonomy management and evolution in a web-based knowledge management system. In Proceeding of HCI '18 Proceedings of the 32nd International BCS Human-Computer Interaction Conference (pp.1-11). https://doi.org/10.14236/ewic/HCI2018.50