基于Semantic Turkey的主题词表及本体构建应用研究  

Application Research of Thesaurus and Ontology Construction Based on Semantic Turkey

作　　者：姚晓娜 王思丽 张旺强 YAO XiaoNa;WANG SiLi;ZHANG WangQiang(Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,P.R.China;Key Laboratory of Knowledge Computing and Intelligent Decision,Gansu Province,Lanzhou 730000,P.R.China)

机构地区：[1]中国科学院西北生态环境资源研究院干旱区生态安全与可持续发展重点实验室,兰州730000 [2]甘肃省知识计算与决策智能重点实验室,兰州730000

出　　处：《数字图书馆论坛》2024年第5期28-34,共7页Digital Library Forum

基　　金：甘肃省自然科学基金项目“甘肃省医疗健康大数据资产管理模式与再利用机制研究”(编号:23JRRA581)资助。

摘　　要：主题词表及本体是语义化知识管理系统的基础数据支撑,对领域知识的语义化组织及知识图谱的构建具有重要意义。在建设公共危机案例知识集成平台的过程中,采用开源软件Semantic Turkey开发主题词表及本体构建功能,并在此基础上实现规范数据录入、词表导航、知识映射等功能,从而支持进一步的语义检索和知识推理。构建的主题词表及本体模型基于语义网标准与技术,具有良好的规范性和互操作性。开源软件Semantic Turkey提供了功能完备的应用程序编程接口,与完全自主开发相比,降低了开发成本,缩短了开发时间,为语义化知识管理系统的开发工作提供新思路和参考依据。The thesaurus and ontology are the fundamental data support for semantic knowledge management systems,which are of great significance for the semantic organization of domain knowledge and the construction of knowledge graphs.In the process of building a public crisis case knowledge integration platform,this study uses the open-source software Semantic Turkey to develop the functions of thesaurus and ontology construction and realizes functions such as standardized data input,vocabulary navigation,and knowledge mapping to support further semantic retrieval and knowledge reasoning.The thesaurus and ontology model are built based on semantic web standard and technology and have good standardization and interoperability.Semantic Turkey provides a fully functional API.Compared with fully self-developed mode,the study reduces cost and shortens time,providing new ideas and references for the development of semantic knowledge management systems.

关 键 词：主题词表 本体 Semantic Turkey SKOS OWL 

分 类 号：G250.7[文化科学—图书馆学]