An artificial intelligence expert system based on knowledge management system and its construction method

Abstract

The invention discloses an artificial intelligence expert system based on a knowledge management system and its construction method, which obtains teaching material information, question and answer information, and user behavior information through the knowledge management system; Constructing a knowledge map from the obtained structured data; obtaining first associated information according to the questions and matching answers in the question-and-answer information, and updating the first associated information into the knowledge map; according to the user behavior information Mining the structured data in the knowledge map corresponding to the user behavior to obtain the second associated information, and updating the second associated information to the knowledge map; thus directly using online educational content as a knowledge input source, Reduce the cost of knowledge acquisition; further excavate more implicit knowledge based on the knowledge information and behavior information of online education, and improve the information breadth and information depth of the knowledge graph.

Description

technical field [0001] The invention relates to the technical field of knowledge management, in particular to a construction method of an artificial intelligence expert system based on a knowledge management system and a system applying the method. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] Artificial intelligence walks on two legs: data-driven and knowledge-driven, but the current devel...

AI Technical Summary

Problems solved by technology

[0006] 2. Data-driven is only doing a good job in the field of artificial intelligence perception, but because there is no accumulation of basic knowledge of world cognition, it is impossible to bring artificial intelligence into the field of cognition

[0009] 1. Due to excessive costs, inability to open source compatibility, and limited computer computing power, expert systems are mostly explicit system theoretical outlines, and cannot sort out tacit knowledge that requires proximal triggering

[0010] 2. Under explicit knowledge materials such as books and documents, a lot of knowledge is difficult to express, because it is a kind of tacit knowledge, process knowledge

But the result of this is that the machine's cognition of the world cannot form a systematic knowledge framework, and the cognition of a thing cannot be comprehensive, systematic and rigorous, because it is the knowledge crawled from many fragmented web pages

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