2023 , Volume 28, № 6, p.118-134

Progress in sustainable tourism requires monitoring of all diverse aspects of the tourism sector for any territory. Expansion of information technologies provides tools for collection, analysis, processing and visualization of relevant information. This study addresses a concept of the tourism monitoring service in the Irkutsk Region within the Lake Baikal area. We define methods and software for implementing this service and present individual results of its prototyping. The design of such service implies the development and software implementation of methods for collecting, processing and visualizing data. Additionally, it should be able to exploit the functionality of the existing cloud platforms for the main information processes. The data collection methods are based on Application Programming Interface and web scraping technologies. Processing methods include statistical methods and artificial intelligence methods. Visualization methods are based on techniques from Business Intelligent Systems. This paper describes the concept of the addressed service and justifies methods for data analysis and visualization, builds an ontological model, defines the content of dashboards, implements a prototype of the service and demonstrates the results of data collection, processing, and presentation obtained from the research. To date, information has been collected and processed for the following tourist attractions: 685 accommodation facilities, 16 services, 809 catering establishments, 352 attractions, and 94 tourist routes and excursions. The proposed technology (methods and software) of the tourism monitoring service has been proved to be effective.