上海海洋大学学报2026，Vol.35Issue(5)：1160-1170,11.DOI:10.12024/jsou.20251004939
知识图谱技术在渔业领域中应用研究进展
Review on application of knowledge graph technology into fisheries
摘要
Abstract
Against the backdrop of the vigorous development of artificial intelligence and big data technologies,knowledge graphs,which integrate multidisciplinary knowledge,have achieved remarkable results in fisheries and many other professional fields.Relevant research is conducive to addressing issues such as the fragmentation of professional knowledge and insufficient visualization.Therefore,this paper systematically sorts out the basic theories of knowledge graphs,including key technologies such as construction methods and processes,ontology construction,and knowledge extraction,as well as the application progress and challenges in the fishery field.Meanwhile,this paper explores the research hotspots,specific application situations and existing deficiencies in this field based on bibliometric methods.The research indicates that while the application of fisheries knowledge graphs demonstrates a growing adoption and has achieved progress in core domains such as bibliometric analysis,information retrieval,intelligent Q&A,and recommendation systems,it still faces widespread limitations.These include a narrow research scope,outdated retrieval algorithms,inadequate complex reasoning capabilities,and ineffective handling of long-tail content.Furthermore,although knowledge graph construction is transitioning from manual to automated processes,with technologies for ontology development,knowledge extraction,and storage maturing,significant shortcomings persist in knowledge fusion,reasoning,and visualization,posing challenges such as data heterogeneity and domain complexity.The research suggests that the future application of knowledge graphs in fisheries should focus on areas such as data integration and standardization,construction of multimodal fishery knowledge graphs,and graph neural network prediction based on fishery knowledge graphs,so as to promote the intelligent development and sustainable development of fisheries.关键词
渔业/人工智能/图神经网络/知识图谱Key words
fisheries/artificial intelligence/graph neural networks/knowledge graph分类
农业科技引用本文复制引用
黄小双,刘必林,张英,孔祥洪,陈新军..知识图谱技术在渔业领域中应用研究进展[J].上海海洋大学学报,2026,35(5):1160-1170,11.基金项目
国家重点研发计划(2023YFD2401302) （2023YFD2401302）
国家自然科学基金(41876141) （41876141）
