Abstract
Searching for a trip requires a great deal of information, including locations, travel, exercise, restaurants, coffee shops, interesting activities, and accommodation. The vast majority of digital information platforms may not provide sufficient information to support all users. Intelligent interactive systems or chatbots have been proposed to facilitate more convenient real-time responses in business and other extensive work. Intent recognition is crucial to a chatbot’s ability to respond successfully to a user’s needs. This study describes the ontology of tourism based on user surveys. By conducting a survey of users and analyzing the data collected, keywords are categorized into various groups. Thus, the ontological design proposes that tourist ontology supports four primary domains and subcategories. In addition, classes and properties have been used to represent the travel domain’s concepts and relationships. Consequently, keywords can enhance the user experience and communication in tourist searches, tourist information, and chatbot development for further study.