Research on intelligent knowledge representation method and algorithm based on basic-element theory

• Published in: Neural computing & applications Vol. 32; no. 10; pp. 5353 - 5365
• Main Authors: Hu Ruo, Wang Huajia, Xu, Hong, Hui-min, Zhao
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer Nature B.V 01.05.2020
• Subjects: Algorithms; Knowledge representation
• ISSN: 0941-0643; 1433-3058
• DOI: 10.1007/s00521-020-04703-2

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.