基于知识工程的核反应堆工程实验知识高效聚集与检索技术研究  

Research on Efficient Aggregation and Retrieval Technology ofNuclear Reactor Engineering Experiment Based on KnowledgeEngineering

作　　者：王广义[1] WANG Guangyi(Nuclear Power Institute of China,Chengdu,Sichuan Prov.610041,China)

机构地区：[1]中国核动力研究设计院,四川成都610041

出　　处：《中国核电》2024年第2期252-258,共7页China Nuclear Power

摘　　要：为应用核反应堆工程实验知识的高效聚集与检索的手段,形成知识型的核反应堆工程实验集成研发环境,将知识工程引入到核反应堆工程实验技术中,从知识模型的定义与分类、建模方法、语义检索等方面论述知识高效聚集与检索的关键技术,并通过知识工程系统的开发验证上述关键技术。研究结果表明,所建立的知识模型定义和建模方法可全面支持核反应堆工程研发成果类知识数据和经验技巧类知识数据的模型化,基于语义分析的知识检索和排序算法,能够对用户输入的基于自然语言的检索词汇进行语义处理和拓展,能够根据任务活动的属性信息精准检索有效的知识。In order to establish a means of efficient aggregation and retrieval of nuclear reactor engineering experiment knowledge and form a knowledge-based integrated R&D environment for nuclear reactor engineering experiment,this paper introduces knowledge engineering into nuclear reactor engineering experiment technology,from the definition and classification of knowledge model,the modeling method of knowledge model this paper discusses the key technologies of efficient knowledge aggregation and retrieval from the aspects of semantic retrieval of knowledge model,and verifies the above key technologies through the development of knowledge engineering system.The results show that the knowledge model definition and modeling method established in this paper can fully support the modeling of nuclear reactor engineering R&D achievement knowledge data and experience skill knowledge data.The knowledge retrieval and ranking algorithm based on semantic analysis established in this paper can semantically process and expand the retrieval vocabulary based on natural language input by users,and accurately retrieve effective knowledge according to the attribute information of task activities.

关 键 词：知识工程 知识模型 知识检索 语义网 

分 类 号：TM623[电气工程—电力系统及自动化]