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{{Short description|Methods for developing expert systems}}
{{about|methods for developing expert systems|application of knowledge based technology to the domain of manufacturing and CAD|Knowledge based engineering}}
'''Knowledge engineering''' ('''KE''') refers to all
== Background ==
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== History ==
In the earliest days of expert systems, there was little or no formal process for the creation of the software. Researchers just sat down with domain experts and started programming, often developing the required tools (e.g. [[inference engine]]s) at the same time as the applications themselves. As expert systems moved from academic prototypes to deployed business systems it was realized that a methodology was required to bring predictability and control to the process of building the software. There were essentially two approaches that were attempted:
# Use conventional software development methodologies
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* [[Knowledge level modeling]]
* [[Knowledge management]]
* [[Knowledge representation and reasoning]]
* [[Knowledge retrieval]]
* [[Knowledge tagging]]
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==References==
==External links==
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* [https://web.archive.org/web/20080612045810/http://www.blackwellpublishing.com/journal.asp?ref=0266-4720&site=1 Expert Systems: The Journal of Knowledge Engineering] – Wiley-Blackwell
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{{DEFAULTSORT:Knowledge Engineering}}
[[Category:Knowledge engineering|
[[Category:Semantic Web]]
[[Category:Ontology (information science)]]
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