Knowledge Tree
knowledge engineering
Also known as: knowledge engineers
Facts (10)
Sources
Construction of intelligent decision support systems through ... - Nature nature.com Oct 10, 2025 4 facts
claimThe IKEDS framework requires substantial knowledge engineering for initial performance in new domains, creating a trade-off between upfront investment and long-term efficiency.
claimLimitations of the IKEDS framework include high costs of knowledge engineering, computational demands, scaling issues for large knowledge graphs, and the presence of conflicting knowledge.
measurementKnowledge engineering for the IKEDS framework requires approximately 120–180 person-hours per domain.
claimGenerative artificial intelligence-driven approaches for metadata modeling and knowledge construction can significantly reduce manual knowledge engineering effort.
Enterprise AI Requires the Fusion of LLM and Knowledge Graph stardog.com Dec 4, 2024 2 facts
claimStardog uses LLMs to automate the creation of ontologies from plain language prompts, allowing subject-matter experts to act as knowledge engineers without requiring specialized knowledge engineering training.
perspectiveStardog aims to automate the knowledge engineering discipline so that a subject-matter expert using Stardog Voicebox via a plain language user interface can create and maintain enterprise knowledge graphs.
The Year of Neuro-Symbolic AI: How 2026 Makes Machines Actually ... cogentinfo.com Dec 30, 2025 1 fact
claimThe adoption of neuro-symbolic AI requires a workforce with cross-functional expertise in machine learning pipelines, knowledge engineering, business processes, and compliance requirements.
Neuro-Symbolic AI: Explainability, Challenges & Future Trends linkedin.com Dec 15, 2025 1 fact
claimData and knowledge requirements challenge the practical adoption of neuro-symbolic models because they often necessitate large amounts of structured data and significant knowledge engineering.
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 1 fact
referenceR. Studer, V.R. Benjamins, and D. Fensel published 'Knowledge engineering: Principles and methods' in the journal Data & Knowledge Engineering.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org Jul 11, 2024 1 fact
referenceEdward A. Feigenbaum et al. published 'The art of artificial intelligence: Themes and case studies of knowledge engineering' in 1977.