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Cross-language medical knowledge graph construction method and device and electronic equipment

A knowledge graph, medical knowledge technology, applied in medical informatics, semantic tool creation, informatics and other directions, can solve the problem of the adverse effects of accurate fusion of knowledge graphs, and achieve the effect of accurate fusion

Active Publication Date: 2020-04-10
TSINGHUA UNIV +1
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Problems solved by technology

These factors have had a serious adverse effect on the accurate fusion of knowledge graphs formed in different languages ​​in the knowledge base, and have brought challenges to the construction of cross-lingual medical knowledge graphs.

Method used

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  • Cross-language medical knowledge graph construction method and device and electronic equipment
  • Cross-language medical knowledge graph construction method and device and electronic equipment
  • Cross-language medical knowledge graph construction method and device and electronic equipment

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Embodiment Construction

[0047]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments in the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the embodiments of the present invention.

[0048] The embodiments of the present invention aim at the problem of low accuracy in the construction of cross-lingual knowledge graphs in the prior art, and through the analysis, information extraction and fusion of medical standards and example electronic medical records in multiple different languages, ...

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Abstract

The embodiment of the invention provides a cross-language medical knowledge graph construction method and a device and electronic equipment, and the method comprises the steps: obtaining a cross-language concept knowledge graph through the fusion of concepts and relations in a generated cross-language and heterogeneous data set based on the medical standards of different languages; extracting andfusing entities, events and relationships of electronic medical records in different languages from hospitals, open data sets and social data sets to obtain a cross-language instance knowledge graph;and combining the cross-language concept knowledge graph with the cross-language instance knowledge graph to form a cross-language fact knowledge graph. According to the method of the invention, medical standards and instance electronic medical records of multiple different languages are respectively analyzed and subjected to information extraction, and knowledge maps formed by different languagesin a knowledge base can be fused more accurately, so that a more accurate and reliable medical knowledge map is obtained.

Description

technical field [0001] The present invention relates to the technical field of medical knowledge graphs, and more specifically, to a cross-language medical knowledge graph construction method, device and electronic equipment. Background technique [0002] With the development of information technology and the rapid growth of knowledge quantity, the volume of knowledge base is also increasing continuously. Since the knowledge graph can structurally describe massive knowledge on the basis of the semantic knowledge base, it has also achieved a high degree of development in this context. At the same time, with the development of knowledge globalization, knowledge sharing across languages ​​is becoming more and more important. [0003] However, in the field of healthcare, the construction of cross-language knowledge graphs is facing many problems. On the one hand, the size of the corpus of different languages ​​varies greatly. For example, the size of the English corpus is ofte...

Claims

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Application Information

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IPC IPC(8): G06F16/36G16H50/70
CPCG06F16/367G16H50/70
Inventor 张勇邢春晓盛明李超李欣
Owner TSINGHUA UNIV
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