Domain Ontology and Tour Information Service based on Your Own Title

Heum Park1*

1School of Engineering, Youngsan University, Yangsan-siGyeongnam-do 626-790, R.O.Korea

[Email : ]

Abstract

This paper presents introduction or story of you: domain ontology and tour information service based on tourists’ generic activities for safety of oversea trip. There have been a lot of risks on oversea trip: kidnapping, lost way, disease, injury, fire, flood, earthquake, local war, etc. Thus, it needs information services to overcome and escape from the risks on oversea trips. With the recent advances in SNS services, there is increasing use of tour information services: attractions, accommodation, transportation, food, etc. using domain ontology. However, there have been only a few studies undertaken from the perspective of both domain ontology and tour information services for safe oversea trips. Thus, in this paper, we propose 1) domain ontology that consists of concepts for risk, location, tourist information, tourist activity and information of national security office, and 2) tour information service based on tourists’ generic activities with the ontology for safe oversea trip. With them, we can get information of risks on oversea trips and announces travelers’ risk in real time.

Index Terms: Domain Ontology, Safe Oversea Trip, Tour Information Service, Tour Risk.

I. INTRODUCTION

Recently, issues for VR and AR in the world, with advances in SNS technologies, we can more readily find tour information on accommodations, transportation, shopping, food, festivals and attractions, making trip and package tour planning for oversea trips. In addition, the services have been designed mostly for the travel industry: tourist portals, hotel brokers and travel agencies, and provided the integrated heterogeneous travel information, recommended tourist attractions according to user profiles and travelers’ preferences for pedestrian travelers using mobile systems. In addition, many studies on the ontological approach to intelligent tourist information services have been introduced [1, 2]. However, most of the studies on these travel utilities have focused on domain ontologies for tourist attractions travel agents, package tours or tour recommendations; contrastingly, there have been relatively only a few studies treating based on travelers’ tasks. A few studies have proceeded from the perspective of task ontology based on users’ generic activities and tasks, and task-oriented tourist information service using them [3].

There have been a lot of risks on oversea trip: kidnapping, disease, injury, fire, flood, earthquake, local war, etc. For individual travelers, they themselves may create problems for their own safety and security. The causes may be: 1) excesses and dangerous practices of tourists in sport, and leisure activities, driving, food and drink, 2) tourists’ previous

II. YOUR CREATIVE IDEAS FOR VR AND AR WITH HOLOLENS

We designed an domain ontology for the tour information domain. The ontology consists of concepts and relations for 6 main classes for tour information of safe oversea trip: 1) Risk, 2) Location, 3) Tourist Information, 4) Tourist Activity, 5) Information of National Security Office, and 6) SNS Apps and Services. The class “Risk” has the subclasses: Disaster, Conflagration, Injury, Traffic Accident, Incident of Sea, Ship Sinking, Death, War, Isolation, Kidnapping, Disease, Loat Way, etc. The “Location” has the subclasses: Latitude, Longitude, Country, City, Address, Street/Road, Highway, Building, Hotel, attraction, etc. The “Tourist Information” comprehends 10 subclasses: Destination, Transportation, Attraction, Food, Shopping, etc. [2], the ‘Private Traveler’ Information, and Schedule, Reservation and Agency.

Fig. 1.Subclasses, their instances and relations among them of Ontology

Table 1.Travelers’ Generic Activities and their Objects on trip

Activities / Object
Reserve
Check-in/out
Board/Take/Drive
Confront with
Announce/Inform
Move / Accommodation, Goods, Transportation, Food, Movie, etc.
Hotel, Attraction, Lodgment, etc.
Train, Bus, Subway, Airplane, etc.
Earthquake, Flood, Conflagration, Injury, Traffic Accident, etc.
Risk, Situation, Location, Address, Text, Picture, Movie, etc.
Accommodation, Restaurant, Shop, Attraction, Somewhere, etc.

REFERENCES

[1] Toby H. W. Lam and Raymond S. T. Lee, “iJADEFreeWalker: An Intelligent Ontology Agent-based Tourist Guiding System,” Springer, vol. 72, pp. 103-125, 2007.

[2] H. Park, S. Kwon and H-C Kwon, “Ontology-based Approach to Intelligent Ubiquitous Tourist Information System”, Proceedings of 4th International Conference Ubiquitous Information Technologies & Applications, ICUT 09, 2009.

[3] H. Park, “Task Model and Task Ontology based on Mobile Users’ Generic Activities for Task-Oriented Tourist Information Service,” International Journal of Smart Home, vol. 7, no. 3, pp. 33-44, 2013.