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There are seven levels or scales of knowledge work, with references for each are cited. Knowledge work (e.g., writing, analyzing, advising) is performed by subject-matter specialists in all areas of an organization. Although knowledge work began with the origins of writing and counting, it was first identified as a category of work by Drucker ...
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.
Knowledge retention is part of knowledge management. It helps convert tacit form of knowledge into an explicit form. It is a complex process which aims to reduce the knowledge loss in the organization. [67] Knowledge retention is needed when expert knowledge workers leave the organization after a long career. [68]
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 management systems (software) include a range of about 1,500 or more different approaches to collect and contain information to then build knowledge that can be searched through specialised search tools. These include concept building tools and/or visual search tools that present information in a connected manner not originally ...
Knowledge organization (KO), organization of knowledge, organization of information, or information organization is an intellectual discipline concerned with activities such as document description, indexing, and classification that serve to provide systems of representation and order for knowledge and information objects.
Knowledge-Centered Service (KCS; previously known as Knowledge-Centered Support) is a service delivery method that focuses on knowledge as a key asset of the organization implementing it. Development began in 1992 by the Consortium for Service Innovation , [ 1 ] a non-profit alliance of service organizations.
Knowledge representation goes hand in hand with automated reasoning because one of the main purposes of explicitly representing knowledge is to be able to reason about that knowledge, to make inferences, assert new knowledge, etc. Virtually all knowledge representation languages have a reasoning or inference engine as part of the system.