Abstract
The article discusses an ontological approach to solving the problem of forming state policy of economic development of cultural and creative industries and the corresponding intellectual-information management systems. The purpose of this article is to develop an effective toolkit (based on ontologies) for making optimal decisions in the field of state regulation of the cultural and creative industries, taking into account the dynamic factors of the external environment. The ontological approach considered in the article assumes the presence of three levels of models: meta-ontology, models of subject areas of cultural and creative industries and models of making appropriate management decisions on the formation of economic development policy of cultural and creative industries. The novelty of the proposed approach lies in the purposeful nature of ontological modeling of such complex system as the state policy of economic development of cultural and creative industries. The system under consideration has certain goals, tasks, resources, processes, factors of influence, risks and other characteristics. These characteristics include, in particular, the structure of the model, the ability to highlight the essential objects of real relations of the considered subject areas, the ability to represent knowledge for the joint work of specialists in computer modeling, the processing of expert knowledge and the generation of management decisions within the framework of the corresponding intellectual-information systems.
Highlights
One of the most important tasks of supporting decision-making in the field of state policy for the development of cultural industries is the task of determining the set of acceptable alternatives for the implementation of this policy, followed by the possibility of choosing the best solution according to the specified optimality criteria.There are a lot of models of control processes for the functioning and development of complex systems [1], but for solving the assigned tasks, their use is ineffective due, first of all, to the scale and complexity of the subject area under consideration.The use of the concept "industry" in the context of culture determines the orientation of public policy measures primarily on the economic component of the sector
The purpose of the developed ontological model of domain in the context of solving the problem of forming scenarios of state policy in the field of cultural and creative industries (CCI) is to describe the events of the scenario, drawing up a plan for the economic development of CCI, when constructing an ontological model, the concepts are highlighted based on their influence on the formation of positive and negative financial flows generated by a cultural project
The unified approach to the generation of management decisions and the corresponding intelligent information system has been developed on the basis of ontological modeling of the processes that form the state policy of CCI economic development
Summary
One of the most important tasks of supporting decision-making (managerial and political) in the field of state policy for the development of cultural industries is the task of determining the set of acceptable alternatives for the implementation of this policy, followed by the possibility of choosing the best solution according to the specified optimality criteria. The economic development of the sector of cultural and creative industries, being an object of state policy, requires the creation of an adequate model for determining the strategy and tactics of subject area development, making appropriate management decisions and carrying out forecast calculations. Such a model should take into account the complexity, multidimensionality, many goals of economic development of the subject area under consideration, factors of influence, etc. The technology of state policy formation based on the ontological approach can be an addition to the expert knowledge about subject area (domain), the features and possible options for the economic development of subject area [3], [4]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
