MLchartDataset catalogue

Knowledge engineering

Term · Meteorology and atmospheric science · MLC-T-MET-006797

A subfield of artificial intelligence focused on building knowledge-based systems by acquiring, representing, and maintaining knowledge from human experts or other sources. In atmospheric science, this involves designing and implementing systems that can mimic human meteorological reasoning for tasks like severe weather forecasting or climate analysis. It bridges the gap between human expertise and computational models.

Table 1. Record
IdentifierMLC-T-MET-006797
FieldMeteorology and atmospheric science
Record as JSON
{
  "id": "MLC-T-MET-006797",
  "term": "Knowledge engineering",
  "field": "Meteorology and atmospheric science",
  "definition": "A subfield of artificial intelligence focused on building knowledge-based systems by acquiring, representing, and maintaining knowledge from human experts or other sources. In atmospheric science, this involves designing and implementing systems that can mimic human meteorological reasoning for tasks like severe weather forecasting or climate analysis. It bridges the gap between human expertise and computational models.",
  "url": "https://mlchart.com/terminology/meteorology/knowledge-engineering/"
}

Record 5,344 of 10,816 in Meteorology and atmospheric science terminology (MLC-0110). Request the full dataset.