Selecting Integrated Approach for Knowledge Representation by Comparative Study of Knowledge Representation Schemes
A Knowledge Representation (KR) is an idea to enable an individual to determine consequences by thinking rather than acting, i.e., by reasoning about the world rather than taking action in it. In Artificial Intelligence, knowledge representation is a combination of data structures and interpretive procedures that leads to knowledgeable behavior. Therefore, it is required to investigate such knowledge representation technique in which knowledge can be easily and efficiently represented in computer. This paper compares various knowledge representation techniques and proves that integrated approach is a more efficient and more accurate knowledge representation scheme.