摘要
文章从数字人体信息聚合宏观发展环境和微观现实需求着手,阐释“人体信息”“数字人体信息”“信息聚合”“数字人体信息聚合”的理论内涵,梳理数据来源,构建数字人体信息聚合模型,探讨其应用前景。数字人体信息聚合数据来源主要有公开数据、授权数据和保密数据。文章构建基于特征标签、融合知识图谱和基于应用场景的三种数字人体信息聚合模型,探讨其在健康评估与疾病预测、身份识别与网络安全以及商品推荐与智能服务领域的应用前景。
Starting from the study of the macro development environment and the micro actual need of digital information aggregation related to human body,this paper explains the theoretical connotation of"human body information","digital human body information"and"digital human body information aggregation",sorts out the data sources,establishes digital information aggregation models,and discusses the application prospects.The relevant data sources are mainly public data,authorized data and confidential data.This paper develops three models of digital human body information aggregation based on feature tags,knowledge graphs and application scenarios,and explores their possible applications in the fields of health assessment and disease prediction,identity identification and network security,product recommendation and intelligent services.
作者
黄进展
文庭孝
HUANG Jinzhan;WEN Tingxiao
出处
《图书馆论坛》
CSSCI
北大核心
2024年第7期28-37,共10页
Library Tribune
基金
国家社科基金资助项目“基于人体信息计量的居民健康指数构建与精准画像研究”(项目编号:22BTQ052)研究成果。
关键词
数字人体信息
信息聚合
知识图谱
应用场景
digital human body information
information aggregation
knowledge graph
application scenarios
