Dynamic knowledge repository: Difference between revisions

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The '''Dynamicdynamic Knowledgeknowledge Repositoryrepository''' ('''DKR''') is a concept developed by [[Douglas C. Engelbart]] as a primary stategeticstrategic focus for allowing humans to address complex problems.{{when|date=September Doug2011}} He has proposed that a DKR will enable us to develop a [[collective intelligence|collective]] [[IQ]] greater than any individual's IQ. References and discussion of Engelbart's DKR concept are available at the [[Doug Engelbart Institute]].<ref>{{cite web | url=https://www.dougengelbart.org/about/dkrs.html|title=About Dynamic Knowledge Repositories – an introduction | accessdate=September 15, 2011 | author=Christina Engelbart}}</ref>

==Definition==

A Knowledgeknowledge Repositoryrepository is a computerized system that systematically captures, organizes and categorizes an [[organizational knowledge|organization's knowledge]]. The repository can be searched and data can be quickly [[data retrieval|retrieved]].

The effective knowledge repositories include factual, conceptual, procedural and meta-cognitive techniques. The key features of knowledge repositories include communication forums.

A knowledge repository (Mr Roger Williams ) can take many forms to "contain" the knowledge it holds. A Customercustomer Databasedatabase is a knowledge repository of customer information and insights -– or electronic explicity[[explicit knowledge]]. A Library is a knowledge repository of books -– physical explicit knowledge. A community of experts is a knowledge repository of [[tacit knowledge]] or experience. The nature of the repository only changes to contain / manage the type of knowledge it holds. A repository (as opposed to an archive) beis designed to get knowledge out. It should therefore have some rules of structure, classification, taxonomy, record management, etc..., to facilitate user engagement.

==References==

{{Reflist|2}}

==Further reading==

*{{cite journal| author = Engelbart, Douglas and Ruilifson, Jeff

|title = Bootstrapping Our Collective Intelligence

|journal = ACM Comput. Surv.

|volume = 31

|issue = 4es

|pages = 38–es

|year = 1999

|issn = 0360-0300

|doi = 10.1145/345966.346040

|publisher = ACM

|s2cid = 32535290

|doi-access = free

}}

== External links==

* [httphttps://dougengelbart.org/ Doug Engelbart Institute]

* [http://www.dougengelbart.org/about/dkrs.html About Dynamic Knowledge Repositories] - an introduction by Christina Engelbart with links to related concepts as well as in-depth works by Doug Engelbart

[[Category:Knowledge representation]]

[[Category:Data management]]

{{tech-stub}}

A Knowledge Repository is a computerized system that systematically captures, organizes and categorizes an organization's knowledge. The repository can be searched and data can be quickly retrieved.

{{techcompu-storage-stub}}

A knowledge repository (Mr Roger Williams ) can take many forms to "contain" the knowledge it holds. A Customer Database is a knowledge repository of customer information and insights - or electronic explicity knowledge. A Library is a knowledge repository of books - physical explicit knowledge. A community of experts is a knowledge repository of tacit knowledge or experience. The nature of the repository only changes to contain / manage the type of knowledge it holds. A repository (as opposed to an archive) be designed to get knowledge out. It should therefore have some rules of structure, classification, taxonomy, record management etc... to facilitate user engagement.