Medical knowledge graph fusion method and device based on multiple data sources

A technology of medical knowledge and multiple data sources, which is applied in the field of medical knowledge map fusion, can solve problems such as difficult to realize the fusion of medical knowledge maps from different data sources, and achieve the effect of strong expressive ability

Active Publication Date: 2020-03-06
BEIJING NUODAO COGNITIVE MEDICAL TECH CO LTD
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  • Abstract
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Problems solved by technology

[0005] Embodiments of the present invention provide a medical knowledge map fusion method and device based on multiple data sources, to solve or at

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  • Medical knowledge graph fusion method and device based on multiple data sources
  • Medical knowledge graph fusion method and device based on multiple data sources
  • Medical knowledge graph fusion method and device based on multiple data sources

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Embodiment Construction

[0039] 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 embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0040] In order to overcome the above-mentioned problems in the prior art, an embodiment of the present invention provides a method and device for medical knowledge map fusion based on multiple data sources. Fusion, on the basis of knowledge representation, according to the reference knowledge map, in addition to realizing entity disambiguation an...

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Abstract

The embodiment of the invention provides a medical knowledge graph fusion method and device based on multiple data sources. The medical knowledge graph fusion method comprises the steps of performingknowledge representation learning based on a first medical knowledge graph and a second medical knowledge graph, and obtaining each first initial vector and each second initial vector; mapping each first initial vector and each second initial vector into a reference vector space based on a pre-acquired reference vector set, and acquiring each first mapping vector and each second mapping vector; and according to each first mapping vector and each second mapping vector, fusing knowledge in the first medical knowledge graph and the second medical knowledge graph to obtain a fused medical knowledge graph. According to the medical knowledge graph fusion method and device based on the multiple data sources provided by the embodiment of the invention, the fused medical knowledge graph with stronger internal logicality and expression ability can be obtained by utilizing the logicality in the knowledge graph based on a knowledge representation learning method.

Description

technical field [0001] The present invention relates to the field of computer technology, and more specifically, to a method and device for merging medical knowledge graphs based on multiple data sources. Background technique [0002] With the development of the mobile Internet, the data generated by it is also growing explosively, and more and more knowledge metadata are scattered on the Internet. However, due to the multi-source heterogeneity of content on the Internet and the loose organizational structure, it brings great challenges to the knowledge interconnection in the big data environment. Therefore, based on the principle of knowledge organization in the big data environment, it is necessary to explore knowledge interconnection methods that not only conform to the development and changes of network information resources but also adapt to the cognitive needs of users from a new perspective, and reveal the integrity and relevance of human cognition at a deeper level. ...

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Application Information

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IPC IPC(8): G06F16/36G06F16/28G16H70/00G06N5/04
CPCG06F16/367G06F16/288G16H70/00G06N5/04
Inventor 周永杰高飞王则远刘静
Owner BEIJING NUODAO COGNITIVE MEDICAL TECH CO LTD
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