Ontology Design for Thailand Travel Industry

Abstract

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.

A Cross-Scenario Data Set Applying to Thai and Lao Language Processing

“…Most people infer the overall meaning based on both the direct and indirect meaning of words. I have concluded that all scenarios should be categorized in the pattern of ontology (Tantisripreecha & Soonthornphisaj, 2010;Saengsupawat, 2014;Wijasika & Srivihok, 2014;Khruahong, 2015;Tungkwampian, 2015). An especially interesting phenomenon is taboo words.…”

“…Additionally, our aim is to develop the cross-scenarios into a kind of ontologya term from computer science focused on the study of words' meanings. Several previous studies have confirmed that the cross-scenarios employed by semantic theory are effective regarding language-processing development (Tantisripreecha & Soonthornphisaj, 2010;Saengsupawat, 2014;Wijasika & Srivihok, 2014;Khruahong, 2015;Tungkwampian, 2015).…”