Dynamic knowledge repository

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The dynamic knowledge repository (DKR) is a concept developed by Douglas C. Engelbart as a primary strategic focus for allowing humans to address complex problems.^[when?] He has proposed that a DKR will enable us to develop a collective IQ greater than any individual's IQ. References and discussion of Engelbart's DKR concept are available at the Doug Engelbart Institute.^[1]

Definition[]

A knowledge repository is a computerized system that systematically captures, organizes and categorizes an . The repository can be searched and data can be quickly 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 can take many forms to "contain" the knowledge it holds. A customer database is a knowledge repository of customer information and insights – or electronic 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) is designed to get knowledge out. It should therefore have some rules of structure, classification, taxonomy, record management, etc., to facilitate user engagement.

References[]

Further reading[]

• Engelbart, Douglas and Ruilifson, Jeff (1999). "Bootstrapping Our Collective Intelligence". ACM Comput. Surv. ACM. 31 (4es): 38–es. doi:10.1145/345966.346040. ISSN 0360-0300. S2CID 32535290.CS1 maint: multiple names: authors list (link)

External links[]

• Doug Engelbart Institute

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