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Knowledge-Based Systems is a peer-reviewed academic journal covering computer science, with a particular focus on knowledge-based systems. It was established in 1987 and is published 24 times per year by Elsevier. The editor-in-chief is Jie Lu (University of Technology Sydney).
The first knowledge-based systems were primarily rule-based expert systems. These represented facts about the world as simple assertions in a flat database and used domain-specific rules to reason about these assertions, and then to add to them. One of the most famous of these early systems was Mycin, a program for medical diagnosis.
[1] [3] In September 2019 she was awarded with the Australian Laureate Fellowship. [4] Lu is editor-in-chief of the journal Knowledge-Based Systems published by Elsevier. Lu was appointed an Officer of the Order of Australia in the 2023 Australia Day Honours, recognising her contribution to engineering, computer science and artificial ...
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]
International Journal of Software Engineering and Knowledge Engineering; International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems; International Journal of Wavelets, Multiresolution and Information Processing; International Journal of Web Services Research; International Journal of Wireless Information Networks
Recommender systems usually make use of either or both collaborative filtering and content-based filtering, as well as other systems such as knowledge-based systems. Collaborative filtering approaches build a model from a user's past behavior (items previously purchased or selected and/or numerical ratings given to those items) as well as ...
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.
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.