藏医药知识库

通过对数字化后的汉、藏医药文献进行信息抽取及人工清洗校验，获得关于传统藏医药的知识表达。构建包含药材、方剂、病症及其相互关系的知识图谱，共计实体17081个，实体间关系53263个，数据库文件为.db格式。

Knowledge representations of traditional Tibetan medicine were acquired via information extraction and manual cleaning and validation of digitized Chinese and Tibetan medical literature. A knowledge graph covering medicinal materials, prescriptions, diseases and their interrelationships was constructed, which contains a total of 17,081 entities and 53,263 inter-entity relationships, with the database file stored in .db format.

AI搜集汇总

背景与挑战

背景概述

藏医药知识库是一个基于汉、藏医药文献构建的知识图谱数据集，包含17081个实体（如药材、方剂、病症）和53263个实体间关系，数据量为11.52MB，以.db格式存储。该数据集源自国家重点研发计划项目，旨在通过数字化和人工校验支持藏医药领域的计算机应用和人工智能研究。