Version 1
: Received: 6 August 2023 / Approved: 7 August 2023 / Online: 8 August 2023 (08:39:31 CEST)
How to cite:
Nikolaychuk, O.A.; Kosogorov, D.E.; Pestova, Y.V.; Pavlov, A.I. Tourism Industry Monitoring Service Based on Analysis of Informational Web Resources. Preprints2023, 2023080517. https://doi.org/10.20944/preprints202308.0517.v1
Nikolaychuk, O.A.; Kosogorov, D.E.; Pestova, Y.V.; Pavlov, A.I. Tourism Industry Monitoring Service Based on Analysis of Informational Web Resources. Preprints 2023, 2023080517. https://doi.org/10.20944/preprints202308.0517.v1
Nikolaychuk, O.A.; Kosogorov, D.E.; Pestova, Y.V.; Pavlov, A.I. Tourism Industry Monitoring Service Based on Analysis of Informational Web Resources. Preprints2023, 2023080517. https://doi.org/10.20944/preprints202308.0517.v1
APA Style
Nikolaychuk, O.A., Kosogorov, D.E., Pestova, Y.V., & Pavlov, A.I. (2023). Tourism Industry Monitoring Service Based on Analysis of Informational Web Resources. Preprints. https://doi.org/10.20944/preprints202308.0517.v1
Chicago/Turabian Style
Nikolaychuk, O.A., Yulia V. Pestova and Alexander I. Pavlov. 2023 "Tourism Industry Monitoring Service Based on Analysis of Informational Web Resources" Preprints. https://doi.org/10.20944/preprints202308.0517.v1
Abstract
The development of sustainable tourism in the territory requires the monitoring of all diverse aspects of the tourism sector and the creation of information technologies that provide the collection, analysis, processing and visualization of relevant information. The aim of this work is to describe the concept of the tourism monitoring service in Irkutsk Oblast as part of the Lake Baikal area, define methods and software of implementing this service, and present individual results of its prototyping. The creation of a service includes the development and software implementation of methods for collecting, processing and visualizing data, as well as ensuring the use of the functionality of existing cloud platforms for the main information processes. 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 Business Intelligent systems methods. In this paper described the concept of service, justified methods of data analysis and visualization, built an ontological model, defined the content of dashboards, implemented a prototype of a service, and demonstrated the results of data collection, processing and presentation obtained from the research. Currently, information has been collected and processed for the following tourist attractions: 685 accommodation facilities, 16 services, 809 catering establishments, 352 attractions, 94 tourist routes and excursions. The proposed technology (methods and software) of the territory tourism monitoring service has demonstrated its effectiveness.
Keywords
tourism monitoring; tourist profile of the territory; ontology; collection of data from open sources; analysis of reviews; web service; cloud platform
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
