AI curriculum
Course outline for Knowledge Engineering Foundations
Documents alone do not make relationships explicit. Model facts and concepts so that knowledge can be queried, reviewed, and maintained for practical use.
About Knowledge Engineering Foundations
Documents alone do not make relationships explicit. Model facts and concepts so that knowledge can be queried, reviewed, and maintained for practical use.
Knowledge Engineering Foundations Course Objectives
- Represent facts and relationships in a small model.
- Distinguish taxonomies from ontologies.
- Define validation and maintenance rules for knowledge.
Pre-requisites
- Familiarity with structured information.
- Ability to describe a subject domain; coding is optional.
Lab Setup
- Computer with a diagram editor or spreadsheet.
- Use synthetic domain facts; a local graph editor is optional.
Detailed Course Outline
Proposed modulesModule 1: Representing a domain
- Knowledge representation
- Facts and relationships
- Taxonomies
- Ontologies
Practical outcome: Create a small model with named concepts and relationships.
Module 2: Using and maintaining knowledge
- Semantic models
- Reasoning
- Knowledge lifecycle
Practical outcome: Specify a query and a model maintenance rule.
Practical exercise
- Model a sample domain, answer questions from its relationships, and define a review process.
How we train
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Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.
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