Paper Info
Title
Research on intelligent knowledge representation method and algorithm based on basic-element theory
Abstract
At present, there are many ways to express knowledge, all of which play an important role in information system. However, these knowledge representation methods cannot reduce the contradiction between knowledge, nor can they effectively extend more new knowledge from existing knowledge. Therefore, this paper puts forward the basic-elements theory and studies the intelligent knowledge representation method of the basic-elements theory. This method studies things, features of things and their corresponding feature quantities as a whole, and USES basic elements to formally describe things, behaviors and relationships, and establishes extended models to express knowledge. The knowledge representation method based on the theory of basic elements can not only express knowledge more accurately and reduce the contradiction between knowledge, but also extend more knowledge from existing knowledge and systematically describe the development of things according to the development nature of basic elements. Experiments show that this method is superior to the common knowledge representation method in terms of expansion rate, clarity and simplification rate.
Year
DOI
Venue
2020
10.1007/s00521-020-04703-2
Neural Computing and Applications
Keywords
DocType
Volume
Basic-element theory, Knowledge representation method, Expand
Journal
32
Issue
ISSN
Citations 
10
0941-0643
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ruo Hu103.38
Huajia Wang201.35
Hong Xu301.35
Huimin Zhao420623.43