数字图书馆论坛2023，Vol.19Issue(12)：86-98,13.DOI:10.3772/j.issn.1673-2286.2023.12.009
基于知识元的细粒度医学量表文档知识表示框架构建
Construction of a Fine-Grained Knowledge Element-Based Framework for Knowledge Representation in Medical Scale Documents
摘要
Abstract
To address the issue of relatively coarse granularity in the organization and service of medical scale resources,this study introduces a fine-grained framework for knowledge representation in medical scale documents,aimed at enhancing the semantic organization and service of these resources.Focusing on commonly used mental health assessment scales,this study employs knowledge element theory to examine the characteristics of scale documents.It analyzes the content knowledge elements within these scale documents,as well as the sets of these elements and their semantic relationships-among individual elements,between elements and their sets,and between sets themselves.This approach results in a fine-grained and hierarchical knowledge representation framework for scale documents.This framework comprises one scale entity knowledge element,six categories of core functional rhetorical structure knowledge elements,and 74 content knowledge elements.It also defines hierarchical relationships within the proposed framework,as well as 8 types of associations.Implementing this framework for the knowledge representation and processing of medical scale resources can significantly improve their semantic organization and service efficiency.关键词
量表文档/医学量表/知识元/知识组织/知识表示/细粒度Key words
Scale Document/Medical Scale/Knowledge Element/Knowledge Organization/Knowledge Representation/Fine-Granularity引用本文复制引用
孙海霞,郝洁,郭臻,沈柳..基于知识元的细粒度医学量表文档知识表示框架构建[J].数字图书馆论坛,2023,19(12):86-98,13.基金项目
本研究得到国家社会科学基金项目"基于知识组织的量表资源语义互联研究"(编号:21BTQ069)、中国医学科学院医学与健康科技创新工程项目"医学知识管理与智能化知识服务关键技术研究"(编号:2021-I2M-1-056)、国家重点研发计划"多源信息融合的心肺功能评测康复技术临床应用与评价"(编号:2022YFC3601005)资助. （编号:21BTQ069）
