Evidence association analysis-oriented knowledge graph automatic construction method

Abstract

The invention relates to an automatic knowledge graph construction method, in particular to an evidence association analysis-oriented automatic knowledge graph construction method, which comprises thefollowing steps: step 1, constructing an ontology to describe a knowledge graph, step 2, extracting case-related evidences, step 3, extracting case structure elements, and step 4, establishing a proof relationship between the evidences and the case structure elements; step 5, fusing the knowledge graph of the high-similarity entity; and step 6, storing the knowledge graph. In the prior art, the field of evidences lacks a knowledge graph for storage and representation at present, while the method is simple to operate, and can construct a high-quality knowledge graph at very low labor cost andimprove the evidence analysis efficiency.

Description

technical field

[0001] The present invention relates to a method for automatically constructing a knowledge graph, and more specifically, to a method for automatically constructing a knowledge graph oriented to evidence association analysis. Background technique

[0002] At present, there is no code of evidence in our country, and there is a lack of a unified and clear regulation on the relevance of evidence. There are only some scattered regulations in legislation. The unclear definition of the relevance of evidence makes it difficult for judges to distinguish between relevant evidence and unrelated evidence, which leads to the reduction of litigation efficiency and the difficulty of solving cases. In judicial practice, the prosecution and the defense may present various evidences to interfere with the trial in order to win the case. Although these evidences are relevant, their adoption will lead to prejudice and confusion. Failure to explain the relevance of evidence can ...

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