Chapter 4: e-Tourism, Edutainment and e-Learning Systems

Title: A study of domain centric tourist recommendation system using ontology search

Author(s): Teerawat Kamnardsiri, Noppon Choosri, Pradorn Sureephong, Ahmed Lbath

Address: Department of College of Arts, Media and Technology, Chiang Mai University, 239 Huaykaew Rd., Suthep, Muang, Chiang Mai, 50200, Thailand | Department of College of Arts, Media and Technology, Chiang Mai University, 239 Huaykaew Rd., Suthep, Muang, Chiang Mai, 50200, Thailand | Department of College of Arts, Media and Technology, Chiang Mai University, 239 Huaykaew Rd., Suthep, Muang, Chiang Mai, 50200, Thailand | Mathematics, Information Sciences and Technologies, and Computer Science, Joseph Fourier University of Grenoble 1, LIG-MRIM, 41 Rue des Mathematiques, BP53X-38041 Grenoble Cedex 9, France

Reference: Software, Knowledge, Information Management and Applications (SKIMA 2013) pp. 144 - 155

Abstract/Summary: Currently, corroborative tourist recommendation system is gaining its popularity with the social network era. The tourist knowledge (i.e., attractions) is mainly built deductively from information sharing. The drawback is that the system will take time to reach its maturity stage, also the accuracy is depending on the user background. For example, the recommendation will be useful if information sharer and information taker has similar background. This paper is aiming at proposing the domain centric tourist recommendation system. The concept is to build the system inductively starting from the atomic searching criteria. The paper deploys knowledge management tools such as typology, and ontology study to analyse tourist and tourism information. The paper also discuss the case study area Chiang Mai province, the north of Thailand.

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