Abstract: [Purpose/significance] To construct the theoretical system of knowledge fusion in the big data era aims to provide basic theory and practical guidance for knowledge fusion in the big data era. [Method/process] According to the purpose and principle of the theoretical system of knowledge fusion in the era of big data, based on Lakatosian research programme, the theoretical system of knowledge fusion in the era of big data is constructed. [Result/conclusion] The theoretical system of knowledge fusion in the era of big data is composed of basic theory of knowledge fusion, auxiliary hypothesis and application theory of knowledge fusion, and big data environment. Among them, the basic theory of knowledge fusion includes the concept and characteristics of knowledge fusion. The auxiliary hypothesis and application theory of knowledge fusion includes the thinking, supporting theory, demand, object, result, process, technology, method and tool of knowledge fusion. Inspired by the big data environment, the theoretical system of knowledge fusion can be expanded and modified continuously. The theoretical system of knowledge fusion in the era of big data solves the practical problems that the relevant theories of knowledge fusion are scattered and difficult to fully explain and guide the task of knowledge fusion in the environment of big data, and provides a reference for the theoretical research of knowledge fusion in the era of big data.

摘要： [目的/意义]构建大数据时代的知识融合理论体系，旨在为大数据时代知识融合提供基础理论和实践指导。[方法/过程]根据大数据时代知识融合理论体系构建的目的与原则，基于拉卡托斯科学研究纲领，构建大数据时代的知识融合理论体系。[结果/结论]大数据时代知识融合理论体系由知识融合基本理论、知识融合的辅助性假设和应用理论、大数据环境组成。其中，知识融合基本理论包括知识融合的概念和特征，知识融合的辅助性假设和应用理论包括知识融合的思维、支撑理论、需求、对象、结果、流程、技术、方法、工具等，在大数据环境的启发下，知识融合理论体系不断扩展和修正。构建的大数据时代知识融合理论体系不仅能指导大数据环境下知识融合的现实工作，还能为大数据时代的知识融合理论研究提供参考。