| Paper title: |
Modeling Techniques for Knowledge Representation of Expert System: A Survey |
| DOI: | https://doi.org/10.4316/JACSM.201902006 |
| Published in: | Issue 2, (Vol. 13) / 2019 |
| Publishing date: | 2019-12-16 |
| Pages: | 39-44 |
| Author(s): | MUHAMMAD L. J., GARBA E. J., OYE N. D., WAJIGA G. M. |
| Abstract. | Knowledge representation is one of the most desirable things to make system intelligent. Every expert system may only be an intelligent if its intelligence is equivalent to the intelligence of human being for a particular domain. In expert system development, a good solution depends on a good knowledge representation modeling technique chosen. So, failure to choose appropriate technique can be a major problem in the later stages of an expert system development, because some critical information cannot be encoded within the chosen technique. This study reviewed some various modeling techniques for knowledge presentation of expert system, identified and discussed the pros and cons of each technique |
| Keywords: | Artificial Intelligence, Expert System, Knowledge Base, Knowledge Transfer, Knowledge Inference |
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