Intermediate · Cognitive
Knowledge engineering (KE)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Knowledge engineering (KE) encompasses all aspects of building, maintaining, and using knowledge-based systems.
Technical Definition
Knowledge engineering (KE) encompasses all aspects of building, maintaining, and using knowledge-based systems.
How it works
Knowledge engineering (KE) is the discipline focused on the practical aspects of creating and managing knowledge-based systems. This includes the technical, scientific, and social considerations involved in acquiring knowledge, designing knowledge representations, implementing inference mechanisms, and ensuring the system's usability and maintenance over time.
Related Concepts
- Knowledge acquisition — Knowledge acquisition is the process of gathering and formalizing knowledge from domain experts to build knowledge-based systems.
- Knowledge-based system (KBS) — A knowledge-based system (KBS) is a program that uses a knowledge base and an inference engine to solve complex problems by reasoning.
- Knowledge representation and reasoning (KR² or KR&R) — Knowledge Representation and Reasoning (KR&R) is the AI field focused on how computers can store and use knowledge to solve problems.