计算机科学与探索2024，Vol.18Issue(3)：574-596,23.DOI:10.3778/j.issn.1673-9418.2305019
知识图谱中实体关系抽取方法研究
Survey of Entity Relationship Extraction Methods in Knowledge Graphs
摘要
Abstract
Entity-relationship extraction has gained more and more attention from researchers as a basis for knowl-edge graph construction.Entity-relationship extraction can automatically and accurately obtain knowledge from a large amount of data,and represent and store it in a structured form.Therefore,the correctness of entity-relationship extraction directly affects the accuracy of knowledge graph construction and the effect of subsequent knowledge graph application.However,for different research hotspots such as complex structure,open domain,multi-language,multi-modal,small sample data,and joint extraction of entity-relationships,the existing entity-relationship extrac-tion methods still have some limitations.Based on the current research hotspots of entity-relationship extraction,this paper tries to categorize entity-relationship extraction into six aspects:complex structure,open domain,multilin-gual,multimodal,small-sample data,and joint entity-relationship extraction,and categorizes each aspect according to the specific problems and lists out some solutions.Not only the current problems and solutions of each category are systematically sorted out,but the research results of each category are summarized,and the advantages and dis-advantages of each method are analyzed in detail from the dimensions of quantitative analysis and qualitative analy-sis.Finally,the problems to be solved in the current hot areas are summarized,and the future development trend of entity-relationship extraction methods in the knowledge graph is also prospected.关键词
知识图谱构建/实体抽取/关系抽取Key words
knowledge graph construction/entity extraction/relationship extraction分类
信息技术与安全科学引用本文复制引用
张西硕,柳林,王海龙,苏贵斌,刘静..知识图谱中实体关系抽取方法研究[J].计算机科学与探索,2024,18(3):574-596,23.基金项目
国家重点研发计划(2020YFC1523305) （2020YFC1523305）
内蒙古自治区自然科学基金(2023LHMS06006) （2023LHMS06006）
内蒙古师范大学基本科研业务费专项资金(2022JBYJ032) （2022JBYJ032）
无穷维哈密顿系统及其算法应用教育部重点实验室开放课题(2023KFZD03).This work was supported by the National Key Research and Development Program of China(2020YFC1523305),the Natural Science Foundation of Inner Mongolia(2023LHMS06006),the Fundamental Research Funds for Inner Mongolia Normal University(2022JBYJ032),and the Project of Key Laboratory of Infinite-Dimensional Hamiltonian System and Its Algorithm Application(Inner Mongolia Normal University),Ministry of Education(2023KFZD03). （2023KFZD03）
