Recommendation System of Agricultural Tourism in Khao Kho District, Phetchabun Province Using the Ontology Principles

Main Article Content

Yupa Kumtapol

Abstract

This research aims (1) to study functions of website and rules engine for recommending agricultural tourism in Khao Kho district, Phetchabun province (2) to develop the recommendation system of agricultural tourism in Khao Kho district, Phetchabun province by ontology and (3) to assess performance of the recommendation system of agricultural tourism in Khao Kho district, Phetchabun province by ontology. The research process was divided into 3 parts (1) collect agricultural tourism knowledge from websites and knowledgeable persons (2) develop the recommendation system consist of ontology knowledge base, Relationship database management system (RDBMS) by MySQL, SPARQL command for querying ontology, Python and PHP for web application development and (3) assess the performance of recommendation system using precision, recall and F-measure and user satisfaction assessment. The result of research found that the ontology knowledgebase has 3 levels 27 nodes and 5 rules engine. The performance assessment of recommendation system was F-measure 88.5% and user satisfaction overall was at highest level (gif.latex?\bar{\chi&space;}= 4.61, SD=0.65)

Article Details

Section
บทความวิจัย

References

Afuana, L. and Hidayat, N. (2019). Ontology model for tourism information in Banyumas. The Proceedings of AIP Conference, Volume 2094, 14–15 November 2018 at Central Java, Indonesia.

Chuenta, I. Thongkam, J. and Phuboon-ob, J. (2014). The development of Ontologies for Information Recommendation System in the Northeast of Thailand. Journal of Science and Technology Mahasarakham University, 34(1), 32-44. (in Thai)

Department of Tourism. (2009). Argo tourism assessment handbook. 2nd ed. Bangkok: Department of Tourism. (in Thai)

Jongjahoh, C. (2011). Using Ontology Tools for Information Services. Thesis of the Degree of Doctor of Information Study. Khon kaen: Khon kaen University. (in Thai)

Kaokor Subdistrict Administration Organization. (2017). Basis information of Kaokor district. [Online]. Retrieved November 21, 2019, from: https://www.khaokho.go.th. (in Thai)

Kerschberg, L. Chowdhury M. Damiano A. Jeong H. Mitchell S. Si J. and Smith, S. (2004). Knowledge Sifter: Ontology-Driven Search over Heterogeneous Databases. Virginia, USA: George Mason University.

Marketingoops. (2016). Online article: The main factor of setting digital strategy. [Online]. Retrieved November 21, 2019, from: https://www.marketingoops.com. (in Thai)

Nithiyuwith, T. (2020). Recommendation system Khao Kho Natural Tourism by Ontology. Phetchabun: Phetchabun Rajabhat University.

Sittijuk, P. and Sanchana, W. (2014). The development of Mungkala knowledge management system in the lower northern area for promoting thai culture using ontology and semantic Wikipedia. Research Journal of Rajabhat Chaingmai, 15(1), 59-72. (in Thai)

Sivilai, S. and Snae, J. (2013). The development of a question-answer system for recommending appropriate food for patients. The Proceedings of the Academic conference National Level in Information Technology, 26-27 February 2013 at Phetchaburi, Thailand, 167-172. (in Thai)

Tupmongkol, S. and Pilabutr, S. (2016). Thailand's tourism semantic web with ontology (RDF and SPARQL). APHEIT Journal Science & Technology, 5(2), 5-11. (in Thai)