Glossary

Knowledge engineering is vital to AI, encompassing the assimilation, portrayal, and use of knowledge to determine complex issues. It structures knowledge for machine learning and natural language processing, reinforcing AI systems.

Knowledge Extraction refers to an AI-based process that derives value-rich knowledge from raw data via techniques like machine learning, data mining, and natural language processing. This extracted information can empower predictions, recommendations, and autonomous learning for AI applications.

The Knowledge Interchange Format, or KIF, is an AI language developed by Stanford AI Lab for representing knowledge using first-order logic sentences, enhancing AI reasoning capabilities.