Legal case similarity calculation method and system based on knowledge graph matching

A similarity calculation and knowledge graph technology, applied in computing, neural learning methods, biological neural network models, etc., can solve problems such as insufficient accuracy, lack of consideration for coordinating local matching and global matching, and inaccurate calculation results. easy-to-capture effects

Pending Publication Date: 2022-02-25
XIANGTAN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the invention is to provide a method and system for calculating the similarity of legal cases based on knowledge map matching, which solves the problem of inaccurate calculation results and insufficient accuracy in the prior art, and does not consider how to coordinate local matching and global matching to obtain higher The problem of precision results

Method used

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  • Legal case similarity calculation method and system based on knowledge graph matching
  • Legal case similarity calculation method and system based on knowledge graph matching
  • Legal case similarity calculation method and system based on knowledge graph matching

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Embodiment 1

[0059] An embodiment of the present invention provides a method for calculating the similarity of legal cases based on knowledge map matching, including the following steps:

[0060] S1. Convert the entity and relationship information in the knowledge graph of the two cases into the initial vector through the text encoder:

[0061] The initial data used by the algorithm is a knowledge graph constructed based on triples (h, r, t) of the RDF model, where h is the head node, r is the relationship edge, and t is the tail node. The graph display samples of the source graph or the target graph are as follows image 3 Shown; The present invention adopts such as image 3 The knowledge map input in the judicial field shown, combined with the calculation method described in the present invention, makes it possible to finally obtain results close to those evaluated by experts in the field.

[0062] S11. Assign different ids to all entities and relationships in the knowledge graph, using...

Embodiment 2

[0110] An embodiment of the present invention provides a legal case similarity calculation system based on knowledge map matching, the system includes a text encoding module, a knowledge map embedding module, a matching score matrix calculation module, a matrix pooling module, and a graph similarity calculation module. The style encoding module is connected with the knowledge map embedding module and the matrix pooling module, the matching score matrix calculation module is connected with the knowledge map embedding module and the matrix pooling module, and the knowledge map embedding module is similar to the graph The degree calculation module is connected, and the matrix pooling module is connected with the graph similarity calculation module, wherein:

[0111] The text encoding module is used to convert the node attributes and relationships in the knowledge graph into fixed-length vector representations;

[0112] The knowledge map embedding module is used to aggregate the i...

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Abstract

The invention discloses a legal case similarity calculation method and system based on knowledge graph matching, wherein the method comprises the steps: converting entities and relation information in knowledge graphs of two cases into initial vectors through a text encoder, obtaining the vectorized representation of the entities in the knowledge graphs through a first graph neural network, and obtaining a matching score matrix between the two images according to a graph matching algorithm; and pooling the matching score matrix to obtain a first score vector, and inputting the first score vector into a multi-layer perceptron to obtain a similarity score of the two cases. The system comprises a text coding module, a knowledge graph embedding module, a matching score matrix calculation module, a matrix pooling module and a graph similarity calculation module. The method can be applied to different types of more complex cases; and local matching and global matching can be further planned as a whole, and a one-to-one correspondence relationship among graph nodes is approximately obtained, so that a law case similarity result with higher precision is obtained.

Description

technical field [0001] The invention relates to the fields of graph processing and computer technology applications, in particular to a method and system for calculating the similarity of legal cases based on knowledge map matching. Background technique [0002] The new round of scientific and technological developments such as artificial intelligence, big data, blockchain, and 5G have had a profound impact on the economy and society. Wisdom and digitalization have become a development trend. In terms of smart court construction, it has now been more and more integrated into the current developed countries. information science and information technology. Generally speaking, when a judge judges a case, due to the limitations of subjective circumstances such as differences in personal level, cognition, and scale of discretion, the phenomenon of "different judgments for the same case" may appear in actual situations. Once it appears, it will seriously affect the credibility of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/18G06F16/36G06F16/33G06N3/04G06N3/08
CPCG06Q50/18G06F16/367G06F16/3331G06N3/08G06N3/045
Inventor 程戈王硕廖永安张冬良胡君钦
Owner XIANGTAN UNIV
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