Editing Domain knowledge

{{Short description|Specialist knowledge within a specific field}}{{More refs|date=November 2024}}

'''Domain knowledge''' is [[knowledge]] of a specific discipline or field  in contrast to [[general knowledge|general]] (or domain-independent) knowledge.<ref>{{Cite journal |last=Bohle Carbonell |first=Katerina |last2=Stalmeijer |first2=Renée E. |last3=Könings |first3=Karen D. |last4=Segers |first4=Mien |last5=van Merriënboer |first5=Jeroen J. G. |date=2014-06-01 |title=How experts deal with novel situations: A review of adaptive expertise |url=https://www.sciencedirect.com/science/article/abs/pii/S1747938X14000116#preview-section-snippets |journal=Educational Research Review |volume=12 |pages=14–29 |doi=10.1016/j.edurev.2014.03.001 |issn=1747-938X}}</ref> The term is often used in reference to a more general discipline—for example, in describing a software engineer who has general knowledge of computer programming as well as domain knowledge about developing programs for a particular industry.{{Cn|date=November 2024}} People with domain knowledge are often regarded as [[Domain expert|specialists or experts]] in their field.<ref>{{Cite journal |last=Simonsmeier |first=Bianca A. |last2=Flaig |first2=Maja |last3=Deiglmayr |first3=Anne |last4=Schalk |first4=Lennart |last5=Schneider |first5=Michael |date=2022-01-02 |title=Domain-specific prior knowledge and learning: A meta-analysis |url=https://www.tandfonline.com/doi/full/10.1080/00461520.2021.1939700 |journal=Educational Psychologist |language=en |volume=57 |issue=1 |pages=31–54 |doi=10.1080/00461520.2021.1939700 |issn=0046-1520|url-access=subscription }}</ref>

==Knowledge capture==
In [[software engineering]], ''domain knowledge'' is knowledge about the environment in which the target system operates, for example, [[software agent]]s. Domain knowledge usually must be learned from software users in the domain (as domain specialists/experts), rather than from software developers. It may include user workflows, data pipelines, business policies, configurations and constraints and is crucial in the development of a software application. Expert domain knowledge (frequently informal and ill-structured) is transformed in computer programs and active data, for example in a set of rules in knowledge bases, by [[knowledge engineer]]s.

Communicating between end-users and software developers is often difficult. They  must find a common language to communicate in. Developing enough shared vocabulary to communicate can often take a while.

The same knowledge can be included in different domain knowledge. Knowledge which may be applicable across a number of domains is called ''domain-independent'' knowledge, for example [[logic]] and mathematics. Operations on domain knowledge are performed by [[metaknowledge]].

==See also==
* [[Artificial intelligence]]
* [[Domain (software engineering)]]
* [[Domain engineering]]
* [[Domain of discourse]]
* [[Ontology (information science)]]
* [[Knowledge engineering]]
* [[Subject-matter expert]]

==Literature==
* Hjørland, B. & Albrechtsen, H. (1995). [https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/(SICI)1097-4571(199507)46:6%3C400::AID-ASI2%3E3.0.CO;2-Y Toward A New Horizon in Information Science: Domain Analysis]. ''Journal of the American Society for Information Science'', 1995, 46(6), p. 400–425.

==References==
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{{DEFAULTSORT:Domain Knowledge}}
[[Category:Knowledge engineering]]