Knowledge graph updating method and device and computer equipment

Abstract

The invention provides a knowledge graph updating method and device and computer equipment, and the method comprises the steps: building the mapping of classes and relationships between ontologies from the ontology level, and configuring a configuration rule file which at least comprises the entity class mapping and relationship mapping between an original ontology file and a target ontology file of an original knowledge graph, the complexity of rule writing is reduced, and the robustness of a graph updating function is enhanced. According to the image query template, the original knowledge graph is queried at least according to the content of the configuration rule file and the generated graph query statement, the target entity information and the target relation information under the target ontology are accurately obtained according to the graph query result, and the target knowledge graph of the field is generated, so that data control is completed from the ontology level; according to the method, professional technicians do not need to compile codes of the target knowledge graph, the labor cost is saved, the iteration period is shortened, and the implementation threshold is reduced.

Description

technical field [0001] The present application mainly relates to the field of computer technology, and more specifically relates to a knowledge map updating method, device and computer equipment. Background technique [0002] With the development and application of Internet and artificial intelligence technology, facing the explosive growth of network data content, Knowledge Graph has been widely used in intelligent search, In areas such as intelligent question answering, information recommendation, content distribution, data analysis and mining, etc., the knowledge development process and structural relationship are displayed in various graphical ways. [0003] Among them, the knowledge map is usually based on the data of the target field, and the ontology model of the target field is constructed, that is, the semantic data model composed of three parts: class, relationship and attribute, so as to realize the creation of the knowledge map. Therefore, once the ontology mode...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that the current processing method of updating the original knowledge map by recreating the knowledge map is cumbersome, time-consuming and laborious, and the update efficiency is low and wastes resources.

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