Human knowledge was regarded as a transfer process into an applied knowledge base in the early 1980s as the creation of a Knowledge-Based Systems (KBS). The premise behind this transfer was that the KBS-required information already existed and only needed to be gathered and applied. Most of the time, the necessary information was gleaned through talking to professionals about how they handle particular problems. This knowledge was usually put to use in production rules, which were then carried out by a rule interpreter linked to them. Here, we demonstrate a number of new ideas and approaches that have emerged during the last few years. This paper presents MIKE, PROTÉGÉ-II, and Common KADS as three different modeling frameworks that may be used together or separately.
Keywords
Knowledge-Based Systems (KBS), Knowledge Engineering (KE), Artificial Inttelligence (AI).
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Daniel Ashlock
Daniel Ashlock
Department of Visual Arts and Curatorial Studies, University in Milan, 20143 Milano MI, Italy.
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Cite this article
Daniel Ashlock, “Modeling Frameworks for Knowledge Engineering Approaches”, Journal of Computing and Natural Science, vol.2, no.1, pp. 015-020, January 2022. doi: 10.53759/181X/JCNS202202003.
