公共卫生和流行病学知识图谱

"针对大规模公共卫生和流行病学数据组织管理难度大、从大数据到知识网络的转化复杂等问题，构建亿级规模公共卫生和流行病学知识图谱。
公共卫生和流行病学的知识图谱通过建立去中心化的节点增量机制，构建不同网节点相同等级的临时空节点，实现节点 之间的联通交互，使节点在保持自身知识的基础上同时实现节点之间知识的联系，实现节点之间的连接构建和查询。

To address the challenges including high complexity in organizing and managing large-scale public health and epidemiological data, as well as the intricate transformation process from big data to knowledge networks, this work constructs a billion-scale public health and epidemiological knowledge graph.
This public health and epidemiological knowledge graph adopts a decentralized node incremental mechanism, by creating temporary empty nodes at the same level across different networks to realize connectivity and interaction between nodes. It enables each node to retain its own knowledge while establishing links between the knowledge of different nodes, thereby achieving connection establishment and query between nodes.

搜集汇总

背景与挑战

背景概述

该数据集是一个亿级规模的公共卫生和流行病学知识图谱，旨在解决大规模数据组织管理和知识网络转化复杂的问题，采用去中心化的节点增量机制实现节点间的联通交互。数据集包含47.0GB的json和docx格式文件，共8个文件，适用于信息科学与系统科学及预防医学与公共卫生学领域的研究。