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A Review on the Knowledge Representation Models and its Implications
Author(s) -
Hepsiba Mabel.,
S. Justus
Publication year - 2016
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2016.10.09
Subject(s) - computer science , representation (politics) , selection (genetic algorithm) , knowledge representation and reasoning , knowledge management , data science , artificial intelligence , machine learning , politics , political science , law
Data and Informat ion has seen exponential growth in the past few years which has led to its importance in processing it in the creation of knowledge. Representing knowledge in a required format is the need for the building a knowledgebase (KB) for Expert Systems. In this paper we carried a survey on the knowledge representation models that will help us choose a suitable model for designing and developing a KB. A detailed study is conducted on six models and comparison of the models on some non-functional attributes are carried out to enable knowledge workers to decide on the model selection.

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