An automatic knowledge map construction method for evidence association analysis

A technology of knowledge graph and association analysis, which is applied in data processing applications, semantic tool creation, text database query, etc., can solve problems such as lack of evidence correlation judgment, achieve low labor cost, improve evidence analysis efficiency, and simple operation Effect

Active Publication Date: 2021-09-07
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

These methods focus more on evidence standards and lack of judgment on the relevance of evidence. Therefore, it is particularly important to propose a model to fill the technical gap in this area.

Method used

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  • An automatic knowledge map construction method for evidence association analysis
  • An automatic knowledge map construction method for evidence association analysis
  • An automatic knowledge map construction method for evidence association analysis

Examples

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with accompanying drawing.

[0046] Such as figure 1 As shown, an automatic knowledge map construction method for evidence association analysis includes the following steps:

[0047] Step 1. Build an ontology to describe the knowledge graph. Through literature research and data review, manually design concepts, attributes, and constraints, build a high-quality ontology structure to organize and express relevant knowledge, specifically including the following sub-steps:

[0048] (a) Analyze the evidence description in the outline of evidence and cross-examination, and then divide the concept of evidence into eight sub-categories according to the provisions on evidence in the "Criminal Procedure Law of the People's Republic of China (2018 Amendment)", including physical evidence, documentary evidence, and witnesses Testimonies, appraisal opinions, statements of victims, confessions and defenses of crimi...

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Abstract

The invention relates to a method for automatically constructing a knowledge map, a method for automatically constructing a knowledge map oriented to evidence association analysis, comprising the following steps: step 1, constructing an ontology to describe the knowledge map, step 2, extracting evidence involved in the case, step 3, extracting The case structure element, step 4, establish the proof relationship between the evidence and the case structure element, step 5, integrate the knowledge map of the high similarity entity, and step 6, store the knowledge map. In the prior art, the evidence field currently lacks a knowledge map for storing representations, but the invention is simple to operate, can construct a high-quality knowledge map with low labor cost, and improve the efficiency of evidence analysis.

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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F40/295G06F16/33G06F16/901G06Q50/18
CPCG06Q50/18G06F16/3341G06F16/3347G06F16/367G06F16/9024G06F40/295
Inventor 孙媛媛宋文辉
Owner DALIAN UNIV OF TECH
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