[目的/意义]为适应大数据环境下网络资源形式多样化及各领域知识服务需求个性化，本文为揭示知识单 元内涵语义、挖掘知识外延关联以及提供丰富灵活的知识服务提供领域知识组织方法。[方法/过程]文章针对现 阶段大数据呈现出的特质，以面向领域应用的视角设计了知识关联组织、聚类组织及语义组织的方法体系。[结 果/结论]文章提出的知识组织方法适应了大数据环境知识工程相关技术与领域应用的深度融合与优化创新。

［Purpose /significance］This research is put forward to adapt to the diversified forms of network resources and the personalized needs of knowledge services in various fields in the big data environment. A method is provided in this paper, domain knowledge organization for revealing the intension and semantics of knowledge units, mining the de? notation association of knowledge and providing rich and flexible knowledge service.［Method / process］The research work proposed in this paper is based on the characteristics of big data at the present stage. It is also designed a series of methods of knowledge organization from the perspective of domain application, including association organization, clus? tering organization and semantic organization.［Result/conclusion］The method proposed in this paper adapts to the deep integration and optimization innovation of the related technology and field application of big data environmental knowledge engineering