Entity linking method and device based on knowledge graph, equipment and storage medium

A technology of knowledge graph and entity, applied in the field of big data

Active Publication Date: 2020-03-27
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, it is necessary to provide a knowledge graph-based entity linking method, device, device and

Method used

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  • Entity linking method and device based on knowledge graph, equipment and storage medium
  • Entity linking method and device based on knowledge graph, equipment and storage medium
  • Entity linking method and device based on knowledge graph, equipment and storage medium

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0047] figure 1 It is a flowchart of a method for linking entities based on kn...

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PUM

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Abstract

The invention relates to the technical field of big data, in particular to an entity linking method and device based on a knowledge graph, equipment and a storage medium. The method comprises the following steps: performing word segmentation on a legal text to obtain a word segmentation result, searching whether entity references the same as the word segmentation result exist or not, if so, putting the entity references into an entity reference set, and putting entities into a candidate entity set; respectively calculating an association score and a correlation score, and adding the association score and each corresponding correlation score to obtain a target function; and in the entity anaphora set, determining the entity anaphora with the maximum objective function value as the final entity anaphora, and linking the final entity anaphora to the corresponding entity in the legal knowledge graph. According to the method, the final entity anaphora is determined by calculating the correlation score of the entity anaphora and the correlation score between the candidate entities, and the entity anaphora is linked, so that the phenomena of synonyms and polysemy in legal texts are avoided.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to a method, device, device and storage medium for entity linking based on knowledge graphs. Background technique [0002] The knowledge graph expresses the information of the Internet into a form that is closer to the human cognitive world, and provides a better ability to organize, manage and understand the massive information on the Internet. The knowledge graph has brought vitality to the semantic search of the Internet. At the same time, it has also shown great power in intelligent question answering, big data analysis and decision-making, and has become the infrastructure of the Internet's knowledge-based intelligent services. Knowledge graphs, together with big data and deep learning, have become one of the core driving forces for the development of artificial intelligence. In the knowledge graph, each node represents an "entity" that exists in the real world, and e...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/955G06F40/289
CPCG06F16/367G06F16/955Y02D10/00
Inventor 陈晨雷骏峰刘嘉伟于修铭李可汪伟
Owner PING AN TECH (SHENZHEN) CO LTD
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