A knowledge map construction method based on a medical domain website

A technology of knowledge graph and construction method, applied in the field of artificial intelligence and data mining, can solve the problem of low accuracy and achieve the effect of optimizing the recommendation mechanism

Inactive Publication Date: 2019-03-29
FOCUS TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The knowledge map can be divided into general knowledge map and domain knowledge map according to the coverage. The general knowledge map emphasizes the breadth of knowledge and is mainly used in search engines, that is, "semantic search". The accuracy of retrieval in a single field is not high

Method used

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  • A knowledge map construction method based on a medical domain website
  • A knowledge map construction method based on a medical domain website

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with accompanying drawing and exemplary embodiment:

[0024] The present invention uses the medical field website as a data source to construct a disease knowledge map, and through domain concept model design, based on the characteristics of diseases in the medical field and the multiple relationships between diseases and symptoms, a disease-oriented conceptual model is designed and disease categories are defined. and related properties of the symptom class.

[0025] The construction based on disease knowledge map is divided into pattern layer design and data layer construction:

[0026] Such as figure 2 As shown, the pattern layer design of the knowledge map should focus on its application scenarios, abstract the characteristics of things in the domain, things and the relationship between things, and obtain a conceptual model. In the conceptual model of disease knowledge map, four categories are de...

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Abstract

The invention discloses a knowledge map construction method based on a medical domain website, which is characterized in that the method comprises the following steps: 1, collecting entities, entity attributes and corpus according to a preset data source of the medical domain; 2, extracting relationships between entity based on a BiLSTM (bidirectional long-short-term memory network) model; Step 3:performing knowledge fusion and map generation. To provide effective, complete and reliable knowledge of the disease at the knowledge level; Beneficial effects of intelligent question answering in the field of auxiliary medicine and semantic search and query understanding in the field.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and data mining, in particular to a method for constructing a knowledge map based on a website in the medical field. Background technique [0002] The rapid development of technologies such as big data, Internet of Things and deep learning has made artificial intelligence develop greatly in recent years. In the medical field, problems such as high pressure on medical personnel to diagnose and treat, difficulty in seeing a doctor, and frequent disputes between doctors and patients make the medical field one of the most active and extensive fields of artificial intelligence applications. The application of artificial intelligence in the medical field involves auxiliary diagnosis and treatment, health management, information management, medical imaging, etc., among which semantic search, query understanding and automatic question answering all need to rely on the knowledge graph in t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06N3/04G16H50/70
CPCG06N3/049G16H50/70G06N3/045
Inventor 王颖王婷
Owner FOCUS TECH
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