Organization of information exchange of digital economy agents based on ontological description of subject area

Economic & mathematical methods and models

Most sectors of the economy have gone through an elementary stage of informatization. Most organizations use information systems designed to carry out information support activities but are not focused on information interaction. Creating a system of interaction should be based on comprehensive analysis of the business logic presented in the systems of data sources. The paper considers a variant of the warehouse data model with ontological modeling methods used as a methodological base. The central role in constructing such models should be played by subject matter experts. At the first stage, an ontology of data sources is created, and then a combined ontology. A schematic representation of the domain ontology in the study is proposed in the form of a hierarchy that includes two categories of components: primary basic components and derived basic components. The logical model of storage is built using the Data Vault method. The methodology for compiling a data model of a repository includes the following steps: analyzing source data models, creating a graphical representation of ontology for sources, creating a graphical representation of a unified ontology, creating a data model of the repository. The paper reflects the practical aspects of implementation of the information exchange obtained in projects in various subject areas. The given sequence of actions for creating a data warehouse model as a basis for information exchange can be used to organize the interaction of systems in both the corporate and the public sector. A specific feature of projects for data integration in the public sector is the responsibility of data producers for personal data safety. The model presented meets the requirements.