2025/2026

Introduction to Knowledge Representation

Type: Mago-Lego

Delivered by: School of Data Analysis and Artificial Intelligence

When: 1, 2 module

Open to: students of one campus

Instructors: Кикоть Станислав Павлович

Language: English

Contact hours: 40

Course Syllabus

Abstract

Knowledge Representation and Reasoning (KRR) is a field in artificial intelligence (AI) that focuses on how to represent information in a way that a computer system can use to make decisions with human-like reasoning. Knowledge representation involves structuring information in a form that a computer can understand. A way to do this is by using ontologies or knowledge graphs, which allows for relationships and hierarchies within your data to be represented. Reasoning refers to the process of drawing conclusions, making inferences, and solving problems based on the information in the knowledge graph. With a reasoning engine, these logical operations can be performed on the represented knowledge to derive new information.