摘要
目的:现有医学知识浩瀚如烟,知识图谱是知识展示比较有效的方法。方法:利用自然语言处理技术,对妇产科教材中的医学知识进行抽取和表示,将妇产科知识存储成结构化的知识图谱,方便专业医学人士查询,也方便对大众进行科普。使用中文分词、命名实体识别、实体分类、关系抽取等技术对教科书文本进行信息抽取。结果:将妇产科教材中的知识转变为知识图谱结构。为后期智能医疗等医疗服务提供了理论基础。结论:以教材为来源,构建领域知识图谱很迅速,能够可视化展示医学信息,让人们快速有效了解医学常识。
Objective: The existing medical knowledge is vast, and knowledge graph is a more effective way to display knowledge. Methods: By the knowledge graph technology to extract and express the medical knowledge in the maternity and obstetrics materials, and stores the knowledge of Obstetrics and Gynecology into a structured knowledge base, which is convenient for the professional medical people to search, and also facilitates the popularization of popular science in the public. Chinese text segmentation, named entity recognition, entity classification and relation extraction are used to extract information from textbook texts. Results: Change the knowledge of teaching materials into structured data. It provides a basis for later intelligent medical and other medical services. Conclusion: Using the source of teaching materials to build a field of knowledge graph is very fast, it can visualize the display of medical information, so that people understand the medical knowledge quickly and effectively.
引文
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