Design And Implementation Of The Expert System Based On The Framework Knowledge Structure

With the advent of the era of Big Data and the development of Mobile Internet technology,Internet of Things technology,Artificial Intelligence technology,Human knowledge has a better use of the means.Expert system is an effective tool for the use of human knowledge,is widely used in agriculture,medicine,industry,military and other fields.Using computer systems to cure experts empirical knowledge in solving practical problems,simulate the methods and strategies used by experts to solve problems.So,expert knowledge is used effectively in a wider time and space.The development of expert system has been accompanied by the need for technological progress such as knowledge acquisition,knowledge representation,knowledge maintenance,problem solving reasoning.Expert system after more than half a century of development,has a mature theoretical basis,but there is room for development of technological innovation.This paper presents a framework of knowledge structure of knowledge representation.Based on this framework,the design and development of rice expert system is realized.The main contents of the paper are as follows:(1)Reviewed the development of expert system technology.Focusing on the selection of technology and architecture of different types of expert systems.In addition,a brief introduction to the development of China's agricultural expert system has been done.(2)Put forward the innovative knowledge expression method: using the framework knowledge structure to describe different types of knowledge.To JSON,MongoDB as the main technical selection.The expert system prototype of B / S architecture was developed by using object-oriented programming technology.(3)Based on the framework knowledge structure,the rice knowledge base and rice confidence rule base were constructed,and the deterministic and non-deterministic knowledge reasoning was realized.Simulation of rice experts to solve some of the rice planting problems,verify the feasibility of technology and architecture.