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Everything about Knowledge acquisition

Process used to define the rules and ontologies required for a knowledge-based system

Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules, objects, and frame-based ontologies. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Knowledge acquisitionA 5-minute orientation
  2. Skim a recent paper: A Survey on Knowledge Graphs: Representation, Acquisition, and ApplicationsInfluential work since 2022
  3. Pick up a classic book: NASA/DoD aerospace knowledge diffusion research projectThe most-reprinted book on the subject
  4. Read the landmark paper: A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.Cited 3,633 times
  5. Go sideways: Ontology learningA closely related topic
  6. Go sideways: Knowledge extractionA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Applications
  2. Techniques

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics