CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

Semantic Web model for business process management in the tourism industry

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Al-Merry Gais M.S., Kravets Alla G., Salnikova Natalia A. Semantic Web model for business process management in the tourism industry // Caspian journal : management and high technologies. — 2019. — №1. — pp. 73-84.

Al-Merry Gais M.S. - post-graduate student, North-Caucasus Federal University, 1 Pushkin St., Stavropol, 355009, Russian Federation, gaismr2009@mail.ru

Kravets Alla G. - Doct. Sci. (Engineering), Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, agk@gde.ru

Salnikova Natalia A. - Cand. Sci. (Engineering), Associate Professor, Volgograd Institute of Management - branch of the Russian Presidential Academy of National Economy and Public Administration, 8 Gagarin St., Volgograd, 400131, Russian Federation, ns3112@mail.ru

The article analyzes the business logic of the tourism industry. According to the results of the analysis, a number of features and problems have been identified that require consideration and solution in order to improve the quality of customer service of tour operators. The model of functioning of the tourist industry is considered, the general scheme of work of programs of automation of the tourist industry is given. The rationale for choosing the ontology of the tourism industry was also made, the analysis of the choice of ontology editing tools was carried out, automation tools for the tourism business were described. A new scheme for integrating the semantic web methods into the decision support subsystem for the automation system of the business administration of the tourism industry is presented. The purpose of the study described in this article is to develop tools for improving the quality and validity of decisions made under conditions of uncertainty in the initial information. Achieving this goal was achieved through the developed approach to decision support in the face of uncertainty. This approach is distinguished by the combined use of the hierarchy analysis method and the Semantic Web methods. After analyzing the analogs and prototypes of the automation tools for the tourism business, a number of rules were identified for the system being created, and a methodology for collecting knowledge for ontology training was formulated. Based on the developed methods and approaches, a system for automating business administration in the tourism industry has been designed and implemented. The article presents the architecture of the business process management system in the tourism industry. As ways of development of the proposed methodology, which allows conceptualizing the subject area, theoretically organizing the accumulated knowledge, one should take into account the possibility of building systems of a new type based on a trained ontology.

Key words: бизнес-процессы, семантическая паутина, туристическая индустрия, системы поддержки принятия решений, онтологии, интеллектуальные системы, business processes, semantic web, tourism industry, decision support systems, ontologies, intellectual systems