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Knowledge management (KM) is the set of procedures for producing, disseminating, utilizing, and overseeing an organization's knowledge and data.It alludes to a multidisciplinary strategy that maximizes knowledge utilization to accomplish organizational goals.
A subset of information management software that emphasizes an approach to build knowledge out of information that is managed or contained is often called knowledge management software. KM software in most cases provides a means for individuals, small groups or mid-sized businesses to innovate, build new knowledge in the group, and/or improve ...
Knowledge management systems are technologies that serve as a repository, communication, or collaboration tool for transferring and retaining knowledge. [4] Embedding knowledge in technology can prevent organizational forgetting [ 91 ] and allow knowledge to transfer across barriers such as distance, organizational unit, and specialization.
Knowledge sharing is part of the three-phase knowledge management process which is a continuous process model. The three parts are knowledge creation, knowledge implementation, and knowledge sharing. The process is continuous, which is why the parts cannot be fully separated. Knowledge creation is the consequence of individuals' minds ...
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
KMS, an abbreviation of Knowledge Management System, was a commercial second generation hypermedia system, originally created as a successor for the early hypermedia system ZOG. KMS was developed by Don McCracken and Rob Akscyn of Knowledge Systems, a 1981 spinoff from the Computer Science Department of Carnegie Mellon University.
An expert system is an example of a knowledge-based system. Expert systems were the first commercial systems to use a knowledge-based architecture. In general view, an expert system includes the following components: a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. [48] [49]
Knowledge ark; Knowledge-based decision making; Knowledge-based theory of the firm; Knowledge broker; Knowledge ecosystem; Knowledge equity; Knowledge inertia; Ignorance management; Knowledge balance sheet; Knowledge market; Knowledge organization (management) Knowledge organization system; Knowledge policy; Knowledge regime; Knowledge sharing ...
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