Open AccessA Micro-view on Techniques for Knowledge Based Systems
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1103.1292s319
Subject(s) - computer science , knowledge representation and reasoning , knowledge base , cognition , artificial intelligence , inference , knowledge based systems , variety (cybernetics) , process (computing) , representation (politics) , expert system , open knowledge base connectivity , cognitive models of information retrieval , information processing , knowledge management , personal knowledge management , human–computer information retrieval , psychology , organizational learning , ranking (information retrieval) , neuroscience , politics , political science , law , operating system
Knowledge representation has been a topic of research and study from the time machine processing of data and information became popular. The attempt to mimic the human cognition using artificial intelligence techniques has been the goal of artificial intelligence systems. The crux of cognition is knowledge. Knowledge is an inference made from data and information that is acquired from a variety of sources. The ability to efficiently acquire information, process it and store it as a knowledge base for further retrieval and use makes the artificially intelligent system a cognitive system. The paper is a brief introduction to knowledge representation techniques and schemes