Knowledge extraction method of case-related property knowledge base

A technology of knowledge extraction and knowledge base, applied in knowledge expression, text database query, instrument, etc., can solve the problems of low accuracy, small corpus and unable to converge, and achieve the effect of improving accuracy

Pending Publication Date: 2022-01-11
SICHUAN UNIV
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Problems solved by technology

Due to the particularity of this field, for the knowledge extraction in the process of building the property knowledge base involved in the case, the machine learning method is currently used because the corpus is too small to converge, and it is more suitable for the knowledge extraction method based on template matching. However, the template-based knowledge must be solved. The problem of low accuracy of the extraction method

Method used

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  • Knowledge extraction method of case-related property knowledge base
  • Knowledge extraction method of case-related property knowledge base
  • Knowledge extraction method of case-related property knowledge base

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Embodiment Construction

[0046] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0047] In this example, see figure 1 As shown, the present invention proposes a method for extracting knowledge from a case-involved property knowledge base, comprising steps:

[0048] S10, constructing knowledge extraction templates of three different dimensions;

[0049] S20, using the knowledge extraction template to extract a five-tuple relationship set from the text of laws and regulations;

[0050] S30, using fuzzy logic to calculate the confidence levels of the extraction results of the three knowledge extraction templates, so that the three knowledge extraction templates compete with each other to obtain a final extraction result.

[0051] In step S10, the construction of knowledge extraction templates of three different dimensions includes the steps of:

[005...

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Abstract

The invention discloses a knowledge extraction method of a case-related property knowledge base. The method comprises the following steps: S10, constructing three knowledge extraction templates with different dimensions; S20, extracting a quintuple relationship set from the law and regulation text by utilizing the knowledge extraction templates; and S30, calculating confidence coefficients of extraction results of the three knowledge extraction templates by applying fuzzy logic, and enabling the three knowledge extraction templates to compete with one another to obtain a final extraction result. The three knowledge extraction templates are designed in different dimensions, the quintuple relationship is automatically extracted from law and regulation texts, and the confidence coefficient of the extraction result of each template is calculated by applying fuzzy logic, so that the three templates compete with one another, and compared with traditional knowledge extraction based on template matching, the accuracy of the extraction result is further improved.

Description

technical field [0001] The invention belongs to the technical field of knowledge base data processing, in particular to a method for extracting knowledge from a case-involved property knowledge base. Background technique [0002] The knowledge base can describe concepts, entities and their relationships in the objective world in a structured form, and complete the effective organization, management and understanding of massive information. The potential of knowledge base systems in applications such as knowledge fusion, intelligent question answering, and big data decision-making has received extensive attention. The knowledge base is a huge network with entities as nodes, including entities, entity attributes and relationships between entities. Knowledge extraction is one of the important tasks in the field of knowledge engineering, and it is also the core step of knowledge map construction. Its purpose is to extract structured knowledge from unstructured natural language ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/36G06F40/295G06N5/02G06Q50/18
CPCG06F16/3344G06F16/367G06F40/295G06N5/022G06Q50/18
Inventor 林锋李攀锋张笑天赵子睿
Owner SICHUAN UNIV
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