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Evidence association analysis-oriented knowledge graph automatic construction method

A technology of knowledge graph and association analysis, applied in semantic tool creation, data processing application, other database retrieval, etc., can solve problems such as lack of evidence relevance judgment, achieve low labor cost, improve evidence analysis efficiency, and simple operation. Effect

Active Publication Date: 2021-03-19
DALIAN UNIV OF TECH
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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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  • Evidence association analysis-oriented knowledge graph automatic construction method
  • Evidence association analysis-oriented knowledge graph automatic construction method
  • Evidence association analysis-oriented knowledge graph automatic construction method

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 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 ...

Claims

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Application Information

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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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