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Military knowledge graph construction method and system

A technology of knowledge map and construction method, applied in the field of military knowledge map construction method and system, to achieve the effect of comprehensive military knowledge

Pending Publication Date: 2021-01-01
NO 15 INST OF CHINA ELECTRONICS TECH GRP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For data such as unstructured military news, it is difficult to extract more information from it only by means of specifications

Method used

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  • Military knowledge graph construction method and system
  • Military knowledge graph construction method and system
  • Military knowledge graph construction method and system

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] The purpose of the present invention is to provide a method and system for constructing a military knowledge map, which can effectively utilize military data in the network, combine semi-automatic labeling and deep learning algorithms, and build a military knowledge map while reducing a certain amount of manpower for labeling. Military personnel provide accurate and comprehensive military information.

[0047] In order to make the above objects, feature...

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Abstract

The invention relates to a military knowledge graph construction method and system. The method comprises the following steps: acquiring military data; defining entities in the military data to obtainontologies corresponding to the entities and ontology relationships; labeling entities in the military data according to the ontology and the ontology relationship to obtain a labeled entity relationship; training the deep learning model according to the military data and the marked entity relationship to obtain a trained deep learning model; inputting military data to be extracted into the trained deep learning model for entity relationship extraction to obtain a plurality of extracted entity relationships; and storing each extracted entity relationship into a graph database to obtain the military knowledge graph. According to the method, military data in the network can be effectively utilized, semi-automatic labeling and deep learning algorithms are combined, the military knowledge graph is constructed under the condition that certain labeling manpower is reduced, and accurate and comprehensive military information is provided for military workers.

Description

technical field [0001] The present invention relates to the technical field of military knowledge graph construction, in particular to a method and system for constructing a military knowledge graph. Background technique [0002] The knowledge graph describes concepts, entities and their relationships in the objective world in a structured form. Entities are things in the objective world, and concepts are the generalization and abstraction of things with the same attributes. Google proposed the knowledge graph in 2012 and successfully applied it in semantic search. Knowledge graph can be regarded as a large-scale application of ontology knowledge representation. The knowledge representation structure of Google knowledge graph mainly describes the relationship between objectively existing entities and entities. For each concept, there is a certain set of attributes describing the concept. Domain knowledge graph refers to a knowledge graph that focuses on a specific vertical...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F40/295G06N3/04
CPCG06F16/367G06F40/295G06N3/045
Inventor 黄茗杨军王滨钟晨张鑫
Owner NO 15 INST OF CHINA ELECTRONICS TECH GRP
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