Liliya R. Chernyakhovskaya - Professor, Department of Technical Cybernetics, Ufa State Aviation Technical University
Address: 12, Karl Marx Street, Ufa, Republic of Bashkortostan, 450008, Russian Federation
E-mail: lrchern@yandex.ru

Albina F. Galiullina - Doctoral Student, Department of Technical Cybernetics, Ufa State Aviation Technical University
Address: 12, Karl Marx Street, Ufa, Republic of Bashkortostan, 450008, Russian Federation
E-mail: GAF1205@yandex.ru

      This article describes the requirements for a decision support system which is designed to assess the quality of public services. Requirements for a decision support system are used as a starting point at its design stage and determine the functions of the developed system without showing the mechanism of its implementation. At the same time, the requirements serve as constraints in the process of system development. The set of the developed requirements for the decision support system includes basic, functional, non-functional and economic requirements.
      We propose to use the ontological approach in the development of requirements for the system. This allows us to solve a number of problems arising from the description of the requirements in natural language: the lack of exposition clarity, misrepresentation of the requirements and so on. The ontological model allows developers to interpret the requirements in the same way, to structure the specification of requirements for the system and to eliminate blurring in their definitions. Ontological representation of knowledge about requirements for the developed system and about the system providing public services in general is used for the semantic integration of existing information resources, appropriate interpretation of the content of text documents and search queries presented in a natural language. The developed ontology improves the quality of user (stakeholder) interaction during the system operation. In addition, it includes rules for term combination to provide reliable assertions on the state of the decision support system.