Knowledge graph construction method and related equipment

Abstract

The invention discloses a knowledge graph construction method and a related device. The method comprises the following steps: obtaining corpus data; carrying out entity pair matching on a plurality ofstatements in the corpus data by utilizing a preset entity pair relation to obtain a matching result; utilizing the training learning model to train statements containing entity positive examples andstatements containing entity negative examples to obtain a training result, and the training result at least comprises weight values of words in the statements in the statements; generating a relation template based on the words with the weight values meeting a first preset condition; based on the positive example statement and the probability value thereof, and the negative example statement andthe probability value thereof, calculating a probability value of the relation template; determining a target relationship template of which the probability value meets a third preset condition in the relationship template, and calculating a proportion value of a corresponding entity pair relationship for the entity pair in the statement by utilizing the target relationship template; and selecting an entity pair with the proportional value of the entity pair relationship meeting a fourth preset condition to construct a knowledge graph.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a knowledge map construction method and related equipment. Background technique [0002] 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 knowledge fields through data mining, information processing, knowledge measurement and graphic drawing, reveals the dynamic development law of knowledge fields, and provides practical and valuable references for subject research. Knowledge graph technology is an integral part of artificial inte...

AI Technical Summary

Problems solved by technology

The current knowledge map construction methods mainly include the following types: one is manual construction, which is obtained by manually sorting out structured data, which usually has the problem of time-consuming and labor-intensive construction; the other is automatic construction, mainly through NLP technology extracts entities from the data, and then obtains the relationship between entities through template matching or classification models to build a knowledge map. Although this solution can improve the construction efficiency, the classification model still requires a large amount of manually labeled training corpus, resulting in still There is a problem of low efficiency, and a lot of noise will be generated when the relationship between the entities extracted from the data is obtained through template matching or classification models, resulting in low construction accuracy

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