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These issues led to the second approach to knowledge engineering: the development of custom methodologies specifically designed to build expert systems. [1] One of the first and most popular of such methodologies custom designed for expert systems was the Knowledge Acquisition and Documentation Structuring (KADS) methodology developed in Europe.
Knowledge-based engineering (KBE) is the application of knowledge-based systems technology to the domain of manufacturing design and production. The design process is inherently a knowledge-intensive activity, so a great deal of the emphasis for KBE is on the use of knowledge-based technology to support computer-aided design (CAD) however knowledge-based techniques (e.g. knowledge management ...
It was developed at the University of Amsterdam as an alternative to an evolutionary approach and is now accepted as the European standard for knowledge based systems. [1] Its components are: A methodology for managing knowledge engineering projects. A knowledge engineering workbench. A methodology for performing knowledge elicitation.
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
Knowledge engineers are involved with validation and verification.. Validation is the process of ensuring that something is correct or conforms to a certain standard. A knowledge engineer is required to carry out data collection and data entry, but they must use validation in order to ensure that the data they collect, and then enter into their systems, fall within the accepted boundaries of ...
Knowledge Engineering Environment (KEE) is a frame-based development tool for expert systems. [1] It was developed and sold by IntelliCorp , and was first released in 1983. It ran on Lisp machines , and was later ported to Lucid Common Lisp with the CLX library , an X Window System (X11) interface for Common Lisp.
The Systems Engineering Body of Knowledge (SEBoK), formally known as Guide to the Systems Engineering Body of Knowledge, is a wiki-based collection of key knowledge sources and references for systems engineering. [1]
As knowledge-based technology scaled up, the need for larger knowledge bases and for modular knowledge bases that could communicate and integrate with each other became apparent. This gave rise to the discipline of ontology engineering, designing and building large knowledge bases that could be used by multiple projects.