Abstract—Tourism industry plays a crucial role in the economics growth in countries of South East Asia and hence the demand for rich local tourist information for visitors. In these countries, there are unique deciding impact factors to visitor journey such as constraints in culture, laws, and festivals. Such special information has not been available or implemented in general search engines so far. In this paper, we design an ontology for Thai travel industry to support an intelligent finding of these local events and their constraints using semantic web. The primary contribution of this paper is a new approach to design ontology for Thailand travel industry on both general information and specific dynamic local information using Domain Ontology Graph (DOG) and location based services. As a result, this ontology design will be applied to an intelligent searching for making decision of tourists. This ontology design will be used in semantic tourism applications in the future.
Index Terms—Location-based service, ontology, semantic tourism, semantic web, travel ontology.
The authors are with University of Technology Sydney, Faculty of Engineering and Information Technology, Sydney, Australia (email: Sanya.Khruahong-1@student.uts.edu.au, Xiaoying.Kong@uts.edu.au, Doan.Hoang@uts.edu.au).
[PDF]
Cite: Sanya Khruahong, Xiaoying Kong, and Doan Hoang, "Ontology Design for Thailand Travel Industry," International Journal of Knowledge Engineering vol. 1, no. 3, pp. 191-196, 2015.
