A Development of Real-time Tourism Information Recommendation System for Smart Phone Using Responsive Web Design, Spatial and Temporal Ontology
Akkasit Sittisaman1, Naruepon Panawong2
1Akkasit Sittisaman, Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand.
2Naruepon Panawong, Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 994-999 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7066068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research presents the development of a real-time tourism information recommendation system on smart phone (RTIRS) using responsive web design. Three key components of the proposed system are temporal and spatial ontology databases which collect tourism information in Nakhonsawan province, i.e., tourism locations, restaurants, accommodations, festivals or traditions. Second, the responsive web design using Bootstrap framework is implemented in order to adapt the display of websites for various screen sizes of smart phones. Third, the real-time tourism recommendation system using PHP and SPARQL is utilized for temporal and spatial ontology search. The experimental results of the real-time tourism information recommendation system show that the system can suitably display tourism information on the different screen sizes of smart phones. The displayed information is specific to users’ locations and times which is tourism locations, restaurants, accommodations, festivals, and traditions. The direction to the suggested locations by google map is shown as well. Therefore, the tourists will not miss the important activities and travel effectively. Otherwise, the system can search the tourism information by users’ search words which help users to set up the well itinerary planning. The efficiency of the proposed system is excellent which can be seen from the average of F-measure is 95.88%, the average of precision is 93.75% and the average of recall is 98.37%.
Keywords: Real-Time, Responsive, Spatial Ontology, Temporal Ontology, Tourism.
Scope of the Article: Real-Time Information Systems