Semantic search method, device and medium based on legal knowledge graph

Through the semantic search method based on the legal knowledge graph, the problem that existing legal search systems are difficult to provide accurate search results is solved, and the accurate search of legal provisions and legal knowledge is achieved, which improves the search efficiency and accuracy.

CN119311845BActive Publication Date: 2025-03-25HEILONGJIANG RONGSHI INFORMATION TECHNOLOGY IND CO LTD
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Patent Information

Application Number
CN202411845147.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-16
Publication Date
2025-03-25
Estimated Expiration
2044-12-16

AI Technical Summary

Technical Problem

The existing legal search system requires users to provide accurate keyword groups. When entering query phrases with a larger range, a large number of search results will be feedback, making it difficult for users to find the required results and cannot provide accurate legal online assistance.

Method used

The semantic search method based on the legal knowledge graph is adopted, and the original query statements entered by the user are obtained, preliminary processing and mapping association are performed, and the query results are matched in the legal knowledge graph and cross-match are performed to obtain the final query results.

Benefits of technology

Accurate search of legal provisions and legal knowledge is achieved, reducing users' troubles in legal searches, and improving the accuracy and efficiency of search results.

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Abstract

The present invention discloses a semantic search method, device and medium based on a legal knowledge graph, relates to the technical field of legal semantic search, and solves the problem that the public is required to provide relatively accurate keyword phrases when using the current legal search system. Once a query phrase with a large input range is input, it is difficult for the public to obtain the query results they want from numerous search results. The semantic search method is specifically as follows: step S1, obtaining the original query statement input by the user terminal; step S2, performing preliminary processing on the input original query statement; step S3, using the legal knowledge graph to map and associate the original query statement after preliminary processing; step S4, cross-matching the query elements with the query result set, and obtaining the query result of the original query statement based on the cross-matching result. The present invention realizes accurate search of legal provisions and legal knowledge based on the legal knowledge graph.
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