Knowledge-Based Artificial Intelligence: Methods and Applications

Sotiris Batsakis, Nikolaos Matsatsinis

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionarypeer-review


Knowledge-based artificial intelligence has been extensively used in numerous application areas leading to the development of a vast number of methods and tools. In recent years, focus has shifted on non-symbolic approaches, and neural networks in particular have achieved human-level performance in various applications where accountability is a very important issue, closely related to the interpretability of artificial intelligence methods in general. Lack of interpretability of neural networks and various machine learning methods has led to the adoption of knowledge-based methods instead, which offer models compliant with explainability and interpretability requirements. In this article, an overview of knowledge-based methods is presented along with the state of the art in this area, offering to the AI practitioner guidance for applying these important methods in practice.

Original languageEnglish
Title of host publicationEncyclopedia of Data Science and Machine Learning
EditorsJohn Wang
PublisherIGI Global
Number of pages13
ISBN (Electronic)9781799892212
ISBN (Print)9781799892205, 1799892204
Publication statusPublished - 31 Jan 2023
Externally publishedYes

Publication series

NameAdvances in Data Mining and Database Management
PublisherIGI Global

Cite this