Ontology Design for Thailand Travel Industry

Khruahong, S; Xiaoying Kong; Doan Hoang

Ontology Design for Thailand Travel Industry

Khruahong, S Xiaoying Kong Doan Hoang

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Publication Type:: Journal Article
Citation:: International Journal of Knowledge Engineering, 2015, 1(3) (3), pp. 191 - 196 (6)
Issue Date:: 2015-12-03

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Field	Value	Language
dc.contributor.author	Khruahong, S	en_US
dc.contributor.author	Xiaoying Kong	en_US
dc.contributor.author	Doan Hoang	en_US
dc.date.available	2015-06-03	en_US
dc.date.issued	2015-12-03	en_US
dc.identifier.citation	International Journal of Knowledge Engineering, 2015, 1(3) (3), pp. 191 - 196 (6)	en_US
dc.identifier.issn	2382-6185	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43369
dc.description.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.	en_US
dc.relation.ispartof	International Journal of Knowledge Engineering	en_US
dc.relation.isbasedon	10.18178/ijke.2015.1.3.033	en_US
dc.title	Ontology Design for Thailand Travel Industry	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	1(3)	en_US
utslib.location.activity	China	en_US
utslib.for	090199 Aerospace Engineering not elsewhere classified	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	1(3)	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/43369