Formalization of Digital Knowledge And Modern Approaches to Data Management

Effective management approaches involve the utilization of formalized knowledge acquired within the organization and subsequently the deployment of decision support systems to facilitate decision-making. For the formalization of knowledge accumulated within organizations, it is necessary to explore the forms of formalization of data. To effectively develop good knowledge bases, a good knowledge representative is needed. Let's discuss the aspects of knowledge representation in the context of semantic web using as an example. However, it is possible to add or maintain a lot of complex data. There are some common views of date storage. Document System, Database oriented a subject, Relational database, Object relational database. Choosing a programming language for a knowledge management system involves considering additional components, such as: Flexibility, Simplicity, Efficiency, Expansion, Support, Portability, Reliability.

Various types of knowledge representation logics are utilized, including: Propositional Logic (PL), First-Order Logic (FOL), Higher-Order Logic (HOL), Modal Logic, Fuzzy Logic, Multivalued Logic, Temporal Logic, Description Logics (DL), Frame, Rule-Based Systems.

Regardless of the type of organization, the system of using tools simplifies the formalization and representation of its knowledge, which forms the basis for fast and efficient management.