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A Knowledge Engineering Primer

Agnieszka Ławrynowicz

Abstract

The aim of this primer is to introduce the subject of knowledge engineering in a concise but synthetic way to develop the reader's intuition about the area.

A Knowledge Engineering Primer

Abstract

The aim of this primer is to introduce the subject of knowledge engineering in a concise but synthetic way to develop the reader's intuition about the area.
Paper Structure (21 sections, 3 equations, 8 figures, 4 tables)

This paper contains 21 sections, 3 equations, 8 figures, 4 tables.

Table of Contents

  1. Introduction
  2. Logical foundations
  3. Semantic networks
  4. Frames
  5. Ontologies
  6. RDFS language
  7. OWL ontology modeling language
  8. Reasoning
  9. "Closed world assumption" versus "open world assumption"
  10. Lack of unique names assumption
  11. Knowledge graphs
  12. Knowledge graph construction
  13. Knowledge graph representation learning
  14. Large language models as knowledge bases
  15. Prompt engineering
  16. ...and 6 more sections

Figures (8)

  • Figure 1: An example of a semantic network.
  • Figure 2: An RDF triple represented as a graph.
  • Figure 3: RDF graph depicting $n$-ary purchase relationship.
  • Figure 4: RDFS-represented data schema layer embedded on RDF-represented data layer, together forming a single semantic network.
  • Figure 5: Interpretation of negation as complement (left) and complement in the context of superclass (right).
  • ...and 3 more figures