针对大数据环境下信息过载问题,提出基于本体理论的知识表示,并设计了基于知识协同的知识处理模型。具体阐释了领域知识间的内在关系及协同作用机理,基于本体的知识表示,建立本体知识库,在知识库中,知识以有机的链式存储,为知识的协同发现和提取奠定了基础。最后通过实例,分析了该模型的有效性,解决了大数据领域存在的数据多而知识少的问题,为信息的知识融合提供了有意义的参考。 Aiming at the problem of information overload in big data environment, a knowledge representation based on ontology theory is proposed and a knowledge processing model based on knowledge collaboration is designed. It explains the internal relations and synergetic mechanism of domain knowledge in detail, builds ontology knowledge base based on ontology knowledge knowledge, and lays the foundation for collaborative knowledge discovery and extraction in knowledge base. Finally, an example is given to analyze the validity of the model, which solves the problem that there is more data and less knowledge in the field of big data, which provides a meaningful reference for the information fusion.