Travel Ontology for Recommendation System based on Semantic Web
Chang Choi, Miyoung Cho, Eui-young Kang, Pankoo Kim · 2006 8th International Conference Advanced Communication Technology · 2006
This paper presents the Travel Ontology to retrieve information from Recommendation System based on Semantic Web. The Metadata is made by preference profile and transaction profile. Information Repository is consisting of Travel Information and Ontology. The Travel Ontology is made by OWL, rule based on Description Logic. The top class is Travel as the domain to build the Travel Ontology. And Accommodation, Activity, Food and Transportation are selected as the upper class. The subclass of the Activities consists of LeisureSports and TourismCulture. At last, the result of Recommendation following scenario using OWL-QL is shown. We propose the Travel Recommendation System in Semantic Web using Ontology. As you know, we can easily insert attributes to Ontology. Besides we can inference from rules and properties in ontology.