Chang Choi, Miyoung Cho, J-U Choi, Myunggwon Hwang, Jong-An Park, Pankoo Kim
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Travel Ontology for Intelligent Recommendation System
Nowadays, travel information is increasing to appeal the tourists on the web. Although there are numerous information provided on the web, the user gets puzzled in finding accurate information. In order to solve these web problems, the concept of semantic web comes into existence to have communication between human and computer.In this paper, we propose intelligent recommendation system based on Jeju travel ontology. The proposed system can recommend the tourist more intelligent information using properties, relationships of travel ontology. Next, the system is responsible for finding personalized attractions and plotting location of traveler on the AlMap.
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