Lecture
Knowledge engineering (eng. Knowledge engineering ) - the field of science of artificial intelligence, associated with the development of expert systems and knowledge bases. Examines the methods and means of extracting, presenting, structuring and using knowledge.
Knowledge Engineering (IZ) was defined by Feigenbaum and McCordac in 1983 as:
"IZ is a section (discipline) of engineering aimed at introducing knowledge into computer systems to solve complex problems, usually requiring a rich human experience."
Currently, this also involves the creation and maintenance of such systems (Kendal, 2007). It is also closely related to software development and is used in many information studies, such as artificial intelligence studies, including databases, data collection, expert systems, decision support systems, and geographic information systems. IZ is related to mathematical logic, which is also used in various scientific disciplines, for example, in sociology where people are “experimental”, and research goals are understanding how human logic works in relation to social relations.
An example of a system based on IZ:
Being an art rather than a purely engineering task, IZ does not have much practical use. The subsection of IZ is meta-engineering knowledge, suitable for the development of AI.
Since the mid-1980s, several principles, methods, and tools have emerged in the IZ that have facilitated the process of obtaining and working with knowledge. Here are some key ones:
Knowledge engineering uses knowledge structuring techniques to speed up the process of obtaining and working with knowledge.
Knowledge engineering | |
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General concepts | Data · Metadata · Knowledge · Metasknowledge · Knowledge Representation · Knowledge Base · Ontology · Semantic Web |
Tough models | Products · Semantic Networks · Frames · Logical Model |
Soft methods | Neural networks · Evolutionary modeling · Fuzzy logic |
Applications | Expert systems · Intelligent data analysis · Information retrieval · Virtual interlocutors · Hybrid intelligent systems |
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Presentation and use of knowledge
Terms: Presentation and use of knowledge