Method and system for generating knowledge graph by applying knowledge reasoning

Abstract

The invention relates to the technical field of knowledge reasoning, in particular to a method and system for generating a knowledge graph by applying knowledge reasoning, comprising six steps, a webmanagement platform, a business platform database DB, an Engine platform, a Hive data source, a TmpDB temporary data source and a DataSource data source. The method comprises the steps that 1, a custom algorithm program is uploaded through the web management platform, and parameters are configured; and 2, an inference scene is configured. According to the method and the system, the problem that the whole process from knowledge reasoning to knowledge graph generation lacks a customizable reasoning algorithm is solved; visual configuration, automated ontology construction, a visual knowledge graph problem is synchronously generated; a user can configure a self-defined algorithm and an inference scene through a visual page, and then inference is conducted on knowledge through a self-developedworkflow management system by means of airflow and spark; and finally ontology construction of the knowledge graph and visual graph display are achieved through a self-developed ETL tool.

Description

technical field [0001] The present invention relates to the technical field of knowledge reasoning, more specifically, it relates to a method and system for applying knowledge reasoning to knowledge map generation. Background technique [0002] Knowledge reasoning refers to the process of simulating human intelligent reasoning in a computer or intelligent system, and using formalized knowledge to carry out machine thinking and solve problems according to reasoning control strategies. [0003] The knowledge map is a combination of theories and methods of applied mathematics, graphics, information visualization technology, information science and other disciplines with metrology citation analysis, co-occurrence analysis and other methods, and uses the visual map to vividly display the core structure and development of the discipline. History, frontier fields, and the overall knowledge structure achieve the modern theory of multidisciplinary integration. It displays complex kn...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies in the existing technology, the purpose of the present invention is to provide a method and system for applying knowledge reasoning to knowledge graph generation, which solves the lack of customizable reasoning algorithms, visual configuration, and automatic ontology in the entire process from knowledge reasoning to knowledge graph generation Construct and synchronously generate a visualized knowledge graph. Users can configure custom algorithms and reasoning scenarios through the visualized page, and then use airflow and spark to reason about knowledge through the self-developed workflow management system. Finally, Through the self-developed ETL tool, realize the ontology construction of the knowledge map, and visualize the map exhibition to solve the problems raised in the above background technology

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