Study on the Modeling Method of Knowledge Base System in Web Environment-Reference-Cited by-同舟云学术

Study on the Modeling Method of Knowledge Base System in Web Environment

Published:2019-08 Issue:09 Volume:33 Page:1959031
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

Jiang Qing¹,Xiao Zhengxing²^ORCID,Ru Cuiping¹,Zhang Zhengyong¹,Wang Liusan¹,Wang Rujing¹,Huang He¹,Li Bin³,Yin Yanxin³,Huang Xiaoping⁴

Affiliation:

1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, P. R. China

2. School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong 518055, P. R. China

3. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, P. R. China

4. School of Electronics and Communication Engineering, Anhui Xinhua University, Hefei, Anhui 230031, P. R. China

Abstract

A knowledge model for knowledge base system in the Web environment is proposed, which includes problem description layer and knowledge layer. A knowledge base is made up of a set of knowledge models. Knowledge models are used to support knowledge representation and reasoning. Visual knowledge modeling tool and visual knowledge service tool based on Web environment realize the construction of knowledge base system in Web environment. The knowledge base system supports the construction of agricultural expert system. By comparison with CommonKADS, it is proved that this method can improve the efficiency of knowledge acquisition, management and maintenance in Web environment. This method also has the reference significance to the construction of the knowledge base system in the Web environment in other domains.

Funder

Thirteenth Five-Year National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Key technology and equipment research and development of intelligent harvest of Chinese wolfberry with high efficiency and low loss

National Natural Science Fund

Research and application of soil fertility rapid sensing device and large data fertilization model

Research of Agricultural Science and Technology in Ningxia

Construction of test and maturation platform for complete sets of hardware and software in Agricultural Internet of things

Natural key projects of the Department of Education of Anhui Province

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001419590316

Reference18 articles.

1. Task-structure analysis for knowledge modeling

2. Heuristic classification

3. Structured development of problem solving methods

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