doi: 10.17586/2226-1494-2019-19-3-499-507


INTELLIGENT TOURIST ASSISTANCE SYSTEM: SERVICE-ORIENTED ARCHITECTURE AND IMPLEMENTATION

Михайлов С.А.


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Mikhailov S.A. Intelligent tourist assistance system: service-oriented architecture and implementation. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 3, pp. 499–507 (in Russian). doi: 10.17586/2226-1494-2019-19-3-499-507


Abstract
Subject of Research. The paper presents research of the tourism support systems performed with modern information technologies. The subject of research is the intelligent tourist assistance system. The analysis of the existing tourist support systems is carried out and their advantages and disadvantages are given. The system architecture and implementation details are developed. A generation method for tourist attraction ratings is developed and experiments are carried out. Method. The method of description and comparative analysis of relevant systems was used for tourist support systems analysis. Machine learning methods were used to create recommendations for sightseeing. The methods of graph theory were used to build routes for places of interest visiting. Main Results. The advantages and disadvantages of the existing tourist support systems have been highlighted. The service-oriented architecture of the proposed intelligent tourist assistance system has been formulated. An attraction information generation method for the specific region based on the open specialized sources has been described. Experiments have been performed aimed at the work evaluation of the tourist assistance system. Practical Relevance. Application of the research results provides for the development of an intelligent tourist assistance system that meets modern requirements and surpasses the existing analogues.

Keywords: information system, tourism, context, services, recommending system

Acknowledgements. The presented results are part of the research carried out within the project funded by grants No. 18-37-00337, 17-29-03284 of the Russian Foundation for Basic Research. The work was partially supported by the Russian State Research No. 0073-2019-0005.

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