计算机工程与应用2025，Vol.61Issue(23)：1-23,23.DOI:10.3778/j.issn.1002-8331.2501-0066
面向知识图谱的问答技术研究综述
Review of Question Answering Techniques for Knowledge Graph
摘要
Abstract
Intelligent question answering is a key technology to obtain demand information accurately and quickly from massive data.In recent years,intelligent question answering technology has achieved remarkable development,such as problem-based information extraction technology,semantic understanding technology and vector modeling method.How-ever,with the rapid development of intelligent question answering technology,people are eager to have a reasonable divi-sion of intelligent question answering model to facilitate the use of users in different fields.In order to divide intelligent question answering model reasonably,it is convenient for researchers in the field of intelligent question answering to conduct in-depth research.Through the investigation of relevant literature in the field of knowledge graph Q&A,this paper summarizes the key technologies of knowledge graph Q&A,including entity linking and knowledge embedding,and introduces the related concepts and processing flow of knowledge graph Q&A in detail.In addition,according to different methods,knowledge graph-oriented question answering techniques are divided into three main categories:semantic parsing,information retrieval and large language model-based methods,and their advantages and disadvantages are introduced and the evaluation indexes of knowledge graph question answering models are summarized respectively.Finally,some suggestions and thoughts are put forward for the existing problems and the future development direction of knowledge graph question-answering technology.关键词
知识图谱(KG)/智能问答(QA)/大数据/语义解析/信息检索Key words
knowledge graph(KG)/questions and answers(QA)/big data/semantic analysis/information retrieval分类
信息技术与安全科学引用本文复制引用
钱慎一,付博文,李代祎,梁瑶瑶..面向知识图谱的问答技术研究综述[J].计算机工程与应用,2025,61(23):1-23,23.基金项目
国家自然科学基金(62272163) （62272163）
河南省科技攻关项目(252102211034) （252102211034）
河南省科学技术厅项目(242102211016) （242102211016）
河南省高等学校重点科研项目(25B520001) （25B520001）
嵩山实验室预研项目(YYJC012022023) （YYJC012022023）
河南省高等教育教学改革研究与实践项目(2024SJGLX0126) （2024SJGLX0126）
河南省自然科学基金青年基金(242300420694) （242300420694）
郑州轻工业大学项目(2024BSJJ014). （2024BSJJ014）
