Intermediate · Cognitive
Knowledge acquisition
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Knowledge acquisition is the process of gathering and formalizing knowledge from domain experts to build knowledge-based systems.
Technical Definition
Knowledge acquisition is the process of gathering and formalizing knowledge from domain experts to build knowledge-based systems.
How it works
Knowledge acquisition is a crucial part of building knowledge-based systems. It involves methods for extracting, structuring, and codifying knowledge from human experts. This process often includes interviews, analyzing documents, and defining rules, objects, or ontologies that the system can use for reasoning.
Related Concepts
- Ontology — A formal specification of the concepts, properties, and relationships in a domain.
- Expert system — AI programs that mimic the decision-making ability of a human expert using a knowledge base and inference rules.
- 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.