Semantic query method and device based on measurement knowledge and computer equipment

Abstract

The invention relates to a semantic query method and device based on measurement knowledge, computer equipment and a storage medium. The method comprises the following steps: acquiring a query question inputted by a user; repeating and transferring the query question to generate a synonymous question set; the synonymous question set comprises a plurality of synonymous questions matched with the semantics of the query question; based on a pre-established question template library, respectively generating target question templates corresponding to all synonymous questions in the synonymous question set, and determining target query statements respectively matched with all the target question templates according to keywords in all the synonymous questions; and based on a pre-established measurement knowledge graph, performing graph query by utilizing the target query statement to obtain a target graph element matched with the target query statement, and taking the target graph element as an answer to the query question. By adopting the method, user semantics can be accurately understood, and mixed retrieval of knowledge and documents is realized.

Description

technical field [0001] The present application relates to the technical field of semantic query, in particular to a semantic query method, device, computer equipment and storage medium based on measurement knowledge. Background technique [0002] With the deepening of the digitalization of the power grid, the data collected by the metering automation system is increasing, and the system documents related to metering automation are becoming more and more complex. When the original data has a variety of sources and forms, there is an urgent need for a query method with a convenient query process and accurate query results, so as to realize the query of measurement data and documents. Existing query methods for measurement automation systems are based on keywords. However, if a small number of keywords are input, the query results will contain a large amount of irrelevant information; if a large number of keywords are input, it is easy to cause no results to be returned. There...

AI Technical Summary

Problems solved by technology

The existing measurement automation system query method is based on keywords. However, if a small number of keywords are input, the query results will contain a lot of irrelevant information; if a large number of keywords are input, it is easy to cause no results to be returned

Therefore, the existing query methods have the disadvantages of being unable to analyze user semantics, unable to identify keyword ambiguity, unable to correctly understand the user's query intention, and unable to adapt to the development of a new generation of measurement automation systems

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