Knowledge Graph Retrieval Method Based on Bayesian Classifier

A technology of Bayesian classifier and knowledge map, which is applied in the direction of unstructured text data retrieval, instrument, character and pattern recognition, etc., can solve the problem of inconvenient knowledge map retrieval, achieve convenient knowledge map retrieval process and improve accuracy The effect of high rate and accurate query intent

Active Publication Date: 2022-03-15
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the existing knowledge map retrieval is not convenient enough, and propose a knowledge map retrieval method based on Bayesian classifier

Method used

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  • Knowledge Graph Retrieval Method Based on Bayesian Classifier
  • Knowledge Graph Retrieval Method Based on Bayesian Classifier
  • Knowledge Graph Retrieval Method Based on Bayesian Classifier

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Embodiment

[0038] The knowledge map retrieval method based on the Bayesian classifier described in the embodiment of the present invention comprises the following steps:

[0039] Step S1. Select training samples according to the query log, process the training samples, establish the corresponding relationship between the query sentence and the query structure diagram, train the semantic recognition model according to the corresponding relationship, and construct a Bayesian classifier;

[0040] Step S2. Using the semantic recognition model and the Bayesian classifier, the natural language query sentence input by the user is mapped to the query structure graph with the highest probability, and the query structure graph is used as the query pattern graph for knowledge map retrieval.

[0041] Through the corresponding relationship between the established query sentence and the query structure graph, the query sentence is converted, and the query sentence is mapped to the query structure graph...

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Abstract

The present invention relates to the field of information retrieval. The present invention aims to solve the problem that the existing knowledge map retrieval is not convenient enough, and proposes a knowledge map retrieval method based on a Bayesian classifier, by establishing the corresponding relationship between query sentences and query structure graphs , convert the query sentence into the corresponding semantic label sequence, and then calculate the probability that the query sentence is mapped to each type of corresponding query structure graph through the Bayesian classification model, select the query structure graph with the highest probability value as the query pattern graph, and perform Knowledge graph retrieval. It builds a bridge between flexible natural language query and knowledge graph semantic retrieval, making information retrieval more convenient for ordinary users, and is suitable for film and television retrieval or other knowledge graph retrieval.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a knowledge map retrieval method. Background technique [0002] The knowledge map organizes massive information in a structured way to provide users with efficient information retrieval methods. The retrieval calculation mainly adopts the method of structural matching. Specifically, a query pattern map is constructed, and the search and query patterns in the knowledge map The matching information in the graph completes the information retrieval. However, constructing the query pattern graph requires certain professional knowledge. For ordinary users, they are accustomed to using natural language query sentences for retrieval. However, natural language query cannot be used in the prior art. Questions directly perform knowledge graph retrieval, and it is necessary to construct a query pattern graph according to the query needs, and then perform information retrieval, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06K9/62
CPCG06F18/29G06F18/214
Inventor 杨兰王欣展华益孙锐
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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