Ontology-based tourism recommendation system
Chin‐I Lee, Tse-Chih Hsia, Hsiang-Chih Hsu, Jing-Ya Lin · 2017
Nowadays people love travel to escape the grind of regular daily life, for the sake of convenience to web information sourced on internet with most search engines, the journey tours are easily found, but the feedbacks are compared with the keyword you entered, not truly responded to your intention, therefore, diverse forms of feedbacks are not hit your target, followed by an information filtering waste for a lot of time. To resolve this problem, our research applies to the Semantic Web Technology to establish a travel Ontology, integrated with SPARQL query language and Fuseki server, implements the tourism recommendation system to enable users to effectively acquire information and enjoy a joyful tour.