Intelligent question answering method, device and computer storage medium based on knowledge graph

Abstract

The invention relates to an artificial intelligence technology, and discloses an intelligent question answering method based on a knowledge graph, comprising: acquiring a question and answer data set, constructing a knowledge graph relational data set according to the question and answer data set, and analyzing the knowledge graph relational data The logical question and answer data set is obtained by preprocessing the set, extract the logical question data set in the logical question and answer data set, calculate the question similarity between the data in the logical question data set, establish a web page chain interface, receive user The input question is preprocessed, and the question similarity between the question input by the user and the data in the logical question data set is calculated, and the relationship between the question similarity set and the preset question threshold is judged, until the final output of the The answer to the question entered by the user. The present invention also provides a knowledge graph-based intelligent question answering device and a computer-readable storage medium.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, a device and a computer-readable storage medium for intelligently answering answers to questions based on question input. Background technique [0002] With the application and development of Internet technology, a large number of question answering systems have emerged. However, most of the current question answering systems are mainly aimed at single, isolated, and factual questions. The accuracy of the answers and the complexity of the questions are limited by the complexity of the existing computational models and the degree of perfection of the knowledge base. Although many research institutions And enterprises are carrying out intelligent question answering research, but their technical level needs to be further improved, and most question answering systems generally cannot give satisfactory answers if they involve semantic understanding, c...

AI Technical Summary

Problems solved by technology

However, most of the current question answering systems are mainly aimed at single, isolated, and factual questions. The accuracy of the answers and the complexity of the questions are limited by the complexity of the existing computational models and the degree of perfection of the knowledge base. Although many research institutions And enterprises are carrying out research on intelligent question answering, but their technical level needs to be further improved, and most question answering systems generally cannot give satisfactory answers if they involve semantic understanding, complex logical reasoning, and text-level language analysis.

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