Medical knowledge graph construction method

A technology of knowledge graph and construction method, which is applied in the direction of semantic tool creation, character and pattern recognition, and unstructured text data retrieval. Improve completeness and accuracy, the effect of good completeness and high accuracy

Pending Publication Date: 2020-09-08
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, the existing medical knowledge graphs are constructed in a semi-automatic or manual manner, so there are the following problems: (1) Incomplete, many entities in the knowledge graph and potential relationships between entities have not been mined; (2) Update efficiency Low, updates are prone to error messages

Method used

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  • Medical knowledge graph construction method
  • Medical knowledge graph construction method

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Embodiment Construction

[0021] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] Such as figure 1 As shown, the medical knowledge map construction method of the present invention includes the following steps:

[0023] (10) Acquisition of medical text data: crawl medical text data including disease descriptions, symptom descriptions, questions and answers, and comments from multiple data sources through web crawler technology;

[0024] Preferably, the multiple data sources include at least Baidu Encyclopedia, Dingxiangyuan, and Food and Drug Administration data sources.

[0025] Medical knowledge web crawlers mainly crawl professional medical websites, including Lilac Garden, Feihua Health Network, Baike Baike, etc., and crawl data such as disease descriptions, comments, symptom descriptions, and drug instructions.

[0026] In the process of crawling data, the types of pages we crawl on the website are mai...

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Abstract

The invention discloses a medical knowledge graph construction method which can make full use of a multi-network knowledge base to dynamically construct a knowledge graph and is good in integrity andhigh in accuracy. The medical knowledge graph construction method comprises the following steps: (10) medical text data acquisition: crawling medical text data including disease description, symptom description, questions and answers and comments in a plurality of data sources through a web crawler technology; (20) obtaining a medical knowledge graph: extracting medical entities and relationshipsbetween the medical entities from the medical text data through a dictionary and rule method to obtain the medical knowledge graph comprising a medical entity graph and a medical entity relationship graph; (30) knowledge graph storage: storing the medical knowledge graph in a Neo4j graph database; and (40) entity fusion: performing entity fusion by adopting an integrated entity alignment method.

Description

technical field [0001] The present invention relates to the field of medical technology, in particular to a method for constructing a medical knowledge map. Background technique [0002] The knowledge map graphically describes the complex relationship between concepts and entities in the real world, allowing the Internet to convey information, organize and manage information in a way that is more acceptable to humans, and also makes people better. understanding of knowledge. Knowledge graphs can also combine big data and deep learning to make great contributions to the development of my country's intelligent technology. [0003] The knowledge map design involves many technologies, including three aspects: knowledge representation, map construction and map application. Knowledge representation is the research on the method of expressing and processing the knowledge of objective events inside the computer; Hou Jian of knowledge map solves how to build an algorithm to obtain ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/951G06F40/295G06K9/62
CPCG06F16/367G06F16/951G06F40/295G06F18/25
Inventor 唐公成徐雷
Owner NANJING UNIV OF SCI & TECH
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