Knowledge Representation in Artificial Intelligence using Domain Knowledge and Reasoning Mechanism

There are few knowledge representation (KR) techniques available for efficiently representing knowledge. However, with the development in convolution, better methods are needed. Some researchers came up with hybrid mechanisms by connecting two or more methods. In an effort to construct a rational computer system, a constitutional consideration is to represent large amounts of knowledge in a way that allows effective use and efficiently organizing information to facilitate making the approved inferences. There are merits and demerits of combinations, and directed method for representing knowledge. In this paper, Knowledge is represented using domain Knowledge and reasoning mechanism with the help of a construction.