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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 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.
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 ...
Print/export Download as PDF; Printable version; In other projects ... International Journal of Software Engineering and Knowledge Engineering;
Knowledge functions (e.g., capturing, organizing, and providing access to knowledge) are performed by technical staff, to support knowledge processes projects. Knowledge functions date from c. 450 BC, with the Library of Alexandria , [ dubious – discuss ] but their modern roots can be linked to the emergence of information management in the ...
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 ...
Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules ...
Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.