Semantic Network and Frame Knowledge Representation Formalisms in Artificial Intelligence
2015
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Abstract (EN)
ABSTRACT: Choosing a suitable method to represent the knowledge concerning the real world is one of the major issues involved in Artificial Intelligence. The purpose of this research is to consider the important beneficial roles of semantic network and frame formalisms for knowledge representation in Artificial Intelligence. The basic properties of the above methods for appropriate structuring and arranging the knowledge are presented. Some types of relationships, the conceptual graph, and the types of semantic network are described. The structure of frame-based system is given. The term class and instances are discussed. Some examples of semantic networks and frames are represented. The advantages and disadvantages of both semantic network and frame techniques are considered. Keywords: Artificial Intelligence, Knowledge representation, Semantic networks, Frames. …………………………………………………………………………………………………………………………
Author
Dr. Pshtiwan Qader Rashid
How to Cite
Pshtiwan Qader Rashid (Master Thesis). Semantic Network and Frame Knowledge Representation Formalisms in Artificial Intelligence, 2015, Eastern Mediterranean University, Department of Mathematics.
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