Knowledge graph dynamic maintenance method, terminal equipment and storage medium

A knowledge graph and knowledge technology, applied in the field of knowledge graph, can solve problems such as inaccuracy, poor scalability, time-consuming and labor-intensive, and achieve the effect of solving lag, accurate update and expansion

Active Publication Date: 2021-03-26
XIAMEN MEIYA PICO INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

By manually discovering or merging ontology, it is time-consuming and labor-intensive, and requires the participation of experts in specific fields, which makes updating the knowledge map lagging behind, not accurate enough, poor in scalability and low in update efficiency

Method used

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  • Knowledge graph dynamic maintenance method, terminal equipment and storage medium

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Embodiment 1

[0030] An embodiment of the present invention provides a dynamic maintenance method for a knowledge map, such as figure 1 As shown, it is a flow chart of the knowledge map dynamic maintenance method described in the embodiment of the present invention, and the method includes the following steps:

[0031] S1: collect business data.

[0032] The business data collected in this embodiment mainly includes two aspects. One is that a new popular entity has appeared, and its information needs to be discovered and downloaded in time. replace or supplement.

[0033] S2: Load the thesaurus file, and perform semantic processing on the business data according to the thesaurus file, that is, extract entity knowledge, entity attribute knowledge and entity relationship knowledge from the business data.

[0034] In this embodiment, the loading of thesaurus files in formats such as excel, csv, Qracle, and mysql is supported, and entity knowledge, entity attribute knowledge, and entity relat...

Embodiment 2

[0054] The present invention also provides a knowledge map dynamic maintenance terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the present invention is realized. Steps in the above method embodiment of the first embodiment of the invention.

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Abstract

The invention relates to a knowledge graph dynamic maintenance method, terminal equipment and a storage medium. The method comprises the steps of S1, collecting service data; S2, loading a thesaurus file, and extracting knowledge from the business data according to the thesaurus file; S3, converting the thesaurus into concepts in the ontology and relationships among the concepts; S4, classifying the extracted knowledge into specific concepts in a thesaurus; S5: according to each knowledge and each concept associated with the knowledge in the thesaurus, constructing a new knowledge ontology anda relationship between the knowledge ontologies; S6, combining the new knowledge ontology and relationship with the existing knowledge ontology and relationship; S7, updating the knowledge graph andthe thesaurus according to the combined knowledge ontology; and S8, for the newly added concepts, according to the classification principle of the thesaurus, according to semantic analysis, discovering upper thesaurus of the newly added concepts and corresponding concept categories, and adding new concept entities. According to the invention, the problems of hysteresis, inflexible expansion and low efficiency in updating the knowledge graph are solved.

Description

technical field [0001] The present invention relates to the field of knowledge graphs, in particular to a dynamic maintenance method for knowledge graphs, a terminal device and a storage medium. Background technique [0002] The Knowledge Graph describes concepts, entities and their relationships in the objective world in a structured form, which is convenient for computers to better manage, calculate and understand the massive information on the Internet. Ontology is a collection of abstract concepts, including people, places, objects, events, organizations, content, etc. An entity is a combination of an ontology and an instance. Usually structured knowledge is represented in the form of a graph. The nodes of the graph represent semantic symbols (entities, concepts), and the edges of the graph represent the semantic relationships between symbols. In addition, each entity has some non-entity-level edges (usually called It is an attribute), such as: the date of birth of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/35G06F40/205G06F40/247G06F40/30
CPCG06F16/367G06F16/355G06F40/247G06F40/205G06F40/30G06F40/284G06N5/022
Inventor 袁泉王电郭贵凤乔盛傅金争
Owner XIAMEN MEIYA PICO INFORMATION
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