Military equipment knowledge graph-oriented key information query method

Abstract

The invention discloses a military equipment knowledge graph-oriented key information query method, which comprises the following steps of: acquiring a natural language query statement, and performing entity linking on entities involved in the natural language query statement and existing entities in a military equipment knowledge graph based on longest common substring matching to obtain a key information query statement; obtaining a plurality of entity linking results; sorting the plurality of entity linking results based on longest prefix matching, and selecting an optimal entity linking result; creating a query template library according to element types in the natural language query statements; on the basis of template matching, the elements in the natural language query statement are matched with the query template library, the corresponding elements in the natural language query statement are filled into the corresponding atlas query statement templates in the query template library, a complete atlas query statement is formed, and a query result is obtained after atlas query. And four typical query statements of military equipment can be answered without data set and algorithm training.

Description

technical field [0001] The invention relates to the technical field of key information query of knowledge graphs, in particular to a key information query method for knowledge graphs of military equipment. Background technique [0002] The core of the knowledge graph question answering task (knowledge graph question answering KGQA) is to map natural language questions into graph database query statements. The methods to solve this problem are divided into two categories: methods based on semantic analysis and methods based on information retrieval. [0003] In the open question answering of the general knowledge graph, the semantic analysis method and the information retrieval method using the deep neural network can play a very good role. [0004] Compared with open domain question answering, the question form in the field of military equipment is limited, lacks a large number of open knowledge sources, requires high accuracy of answers, and is difficult to use deep learnin...

AI Technical Summary

Problems solved by technology

[0004] Compared with open domain question answering, the question form in the field of military equipment is limited, lacks a large number of open knowledge sources, requires high accuracy of answers, and is difficult to use deep learning methods for large-scale training

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