Browse > Article
http://dx.doi.org/10.1633/JISTaP.2022.10.1.4

Using Ontology to Represent Cultural Aspects of Local Products for Supporting Local Community Enterprise in Thailand  

Plirdpring, Phakharach (Information System and Business Computer, Faculty of Business Administration and Information Technology, Rajamangala University of Technology)
Ruangrajitpakorn, Taneth (Language and Semantic Technology Laboratory, National Electronics and Computer Technology Center)
Publication Information
Journal of Information Science Theory and Practice / v.10, no.1, 2022 , pp. 45-58 More about this Journal
Abstract
Community enterprise plays an important role for developing local business. Products from local communities apply local specialties such as high-quality materials and inherited wisdom. This work aims to support merchandises from local community enterprises by bringing out their specialties related to local wisdom and intangible cultural aspects. An ontology is applied to demonstrate the innate information regarding the implicit values of the products and is used as a core for a semantic search system. Details of the products are gathered from their respective community using an interview method and are extracted to align with the developed ontological schema. The semantic search system thus is implemented with a recommendation process for online accessibility for providing the organised information. From evaluation, the developed ontology and its instances are rated highly for their consistency, conciseness, and completeness. In usage, accuracy of the query and recommendation results are evaluated at 97.38% searching accuracy and 85.03% for recommending interesting products.
Keywords
community enterprise; intangible culture; local product; ontology; knowledge graph;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Community Enterprise Promotion Division. (2012). Tasks and responsibilities. http://smce.doae.go.th/aboutus.php.
2 Pinto, F. M., Marques, A., & Santos, M. F. (2009). Ontology-supported database marketing. Journal of Database Marketing & Customer Strategy Management, 16(2), 76-91. https://doi.org/10.1057/dbm.2009.9.   DOI
3 Ruangrajitpakorn, T., Prombut, C., & Supnithi, T. (2018, November 15-17). A development of an ontology-based personalised web from rice knowledge website. Proceedings of the 13th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) (pp. 1-6). IEEE. https://doi.org/10.1109/KICSS45055.2018.8950556   DOI
4 Sam K. M., & Chatwin, C. R. (2013). Ontology-based sentiment analysis model of customer reviews for electronic products. International Journal of e-Education, e-Business, e-Management and e-Learning, 3(6), 477-482. http://www.ijeeee.org/Papers/282-A0056.pdf.
5 Thanapalasingam, T., Osborne, F., Birukou, A., & Motta, E. (2018, October 8-12). Ontology-based recommendation of editorial products. In D. Vrandecic, K. Bontcheva, M. C. Suarez-Figueroa, V. Presutti, I. C. M. Sabou, L.-A. Kaffee & E. Simperl (Eds.), Proceedings of the 17th International Semantic Web Conference (pp. 341-358). Springer.
6 Thotharat, N. (2017, February 1-4). Thai local product recommendation using ontological content based filtering. Proceedings of the 9th International Conference on Knowledge and Smart Technology (KST) (pp. 45-49). IEEE.
7 UNESCO. (2003). Intangible cultural heritage. https://ich.unesco.org/doc/src/01851-EN.pdf.
8 Xu, J., Dong, Y., & Gu, S. (2009, June 17-19). An effective customer oriented e-catalog method in OKP. Proceedings of the 2009 Chinese Control and Decision Conference (pp. 4972-4977). IEEE.
9 Banks, J. A., & Banks, C. A. M. (1989). Multicultural education: Issues and perspectives. Allyn and Bacon.
10 Gomez-Perez, A. (2004). Ontology evaluation. In S. Staab, & R. Studer (Eds.), Handbook on ontologies (pp. 251-273). Springer.
11 Kroeber, A. L., & Kluckhohn, C. (1952). Culture: A critical review of concepts and definitions. Peabody Museum of Archaeology & Ethnology, Harvard University, 47(1), 223. https://www.academia.edu/27899992/CULTURE_A_CRITICAL_R_EVIEW_OF_CONCEPTS_AND_DEFINITIONS.
12 Buranarach, M., Supnithi, T., Thein, Y. M., Ruangrajitpakorn, T., Rattanasawad, T., Wongpatikaseree, K., Lim, A. O., Tan, Y., & Assawamakin, A. (2016). OAM: An ontology application management framework for simplifying ontology-based semantic web application development. International Journal of Software Engineering and Knowledge Engineering, 26(01), 115-145. https://doi.org/10.1142/S0218194016500066.   DOI
13 Damen, L. (1987). Culture learning: The fifth dimension in the language classroom. Addison-Wesley.
14 Edmiston, K. D. (2007). The role of small and large businesses in economic development. https://doi.org/10.2139/ssrn.993821.   DOI
15 Lederach, J. P. (1995). Preparing for peace: Conflict transformation across cultures. Syracuse University Press.
16 McGuinness, D. L., & van Harmelen, F. (2004). OWL web ontology language overview. http://www.w3.org/TR/2004/REC-owl-features-20040210/.
17 Mizoguchi, R. (2003). Part 1: Introduction to ontological engineering. New Generation Computing, 21(4), 365-384. https://doi.org/10.1007/BF03037311.   DOI
18 Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. http://www.ksl.stanford.edu/people/dlm/papers/ontology-tutorial-noymcguinness-abstract.html.
19 Chansanam, W., Tuamsuk, K., Kwiecien, K., Ruangrajitpakorn, T., & Supnithi, T. (2014, November 9-11). Development of the belief culture ontology and its application: Case study of the GreaterMekong subregion. In T. Supnithi, T. Yamaguchi, J. Z. Pan, V. Wuwongse, & M. Buranarach (Eds.), Proceedings of the 4th Joint International Semantic Technology Conference (JIST) (pp. 297-310). Springer.
20 Baizal, Z. K. A., Iskandar, A., & Nasution, E. (2016, May 25-27). Ontology-based recommendation involving consumer product reviews. Proceedings of the 4th International Conference on Information and Communication Technology (ICoICT) (pp. 1-6). IEEE.
21 de Bruijn, J., & Welty, C. (2013). RIF RDF and OWL compatibility (second edition). https://www.w3.org/TR/2013/RECrif-rdf-owl-20130205/.
22 Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies, 43(5-6), 907-928. https://doi.org/10.1006/ijhc.1995.1081.   DOI
23 Lee, T., Chun, J., Shim, J., & Lee, S. (2006). An ontology-based product recommender system for B2B marketplaces. International Journal of Electronic Commerce, 11(2), 125-155. https://doi.org/10.2753/JEC1086-4415110206.   DOI
24 Mooney, R. J., & Roy, L. (2000, June 2-7). Content-based book recommending using learning for text categorization. Proceedings of the 5th ACM conference on Digital libraries (pp. 195-204). ACM. https://doi.org/10.1145/336597.336662   DOI
25 Robinson, N., & LaMore, R. L. (2010). Why buy local? An assessment of the economic advantages of shopping at locally owned businesses. https://ced.msu.edu/upload/reports/why%20buy%20local.pdf.
26 Tuamsuk, K., Chansanam, W., & Kaewboonma, N. (2018). Ontology of folktales in the Greater Mekong subregion. International Journal of Metadata, Semantics and Ontologies, 13(1), 57-67. https://doi.org/10.1504/IJMSO.2018.096454.   DOI
27 Sitikhu, P., Pahi, K., Thapa, P., & Shakya, S. (2019). A comparison of semantic similarity methods for maximum human interpretability. arXiv. https://arxiv.org/pdf/1910.09129.pdf.