Towards Digitalization of Business Processes: Building a Business Domain Ontology for Project Management
Affiliation:
1. Associate professor, Basic Department of digital economy, Higher School of Cyber Technologies, Mathematics and Statistics, Plekhanov Russian University of Economics, RUSSIA
Abstract
The article presents an ontological model of the subject area. It was designed to improve the efficiency of the software development process and reduce development costs. This ontological model is recommended to be used in the formation of the company’s software architecture. The article contains data on the process and results of developing an ontological model of the selected subject area. The theoretical justification of the application of the ontological approach is presented. The business domain of relations between IT directors during the implementation of the digitalization project of the company’s business process is defined as a subject area. The sources of the metadata of the ontological model were the standards for the organization of collective activity – ISO 21500:2012 and PRINCE2. The ontological model was developed in accordance with the basic characteristics of the modeling process and the mathematical apparatus that established the relationship of concepts and the order of inheritance of attributes. The project topics became layers of the ontological model, the responsibility for the consistent implementation of which is borne by IT directors, as well as the functional tasks and functional roles of IT management distributed among them. The order and direction of interaction of the IT management in the project is shown by the relationships between the entities of the model. The chosen form of visualization - semantic network - allows you to demonstrate the result of the development of an ontological model and can be considered as a ready-made product to support the semantics of end-user requests in the company.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Artificial Intelligence,General Mathematics,Control and Systems Engineering
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