近年来知识融合研究进展与趋势
Progress and Trend of Knowledge Fusion Research in Recent Years
[目的/意义]对近年来知识融合相关研究进行梳理与评价，以期为今后相关研究提供参考。[方法/过程]首先解析知识融合的概念，然后对知识融合的框架、过程和方法进行梳理，继而总结知识融合的研究趋势，最后进行研究展望。[结果/结论]知识融合研究在大数据环境下呈现出新的研究特点，但还不能满足大数据环境的要求，未来应从构建分层多维立体的大数据知识融合框架、提高知识融合的效率、构建实时动态融合机制、开展大数据实证应用研究4个方面开展知识融合研究。
信息科学、信息技术
知识融合大数据述评
张云秋,朱祥.近年来知识融合研究进展与趋势[EB/OL].(2023-07-26)[2025-09-26].https://chinaxiv.org/abs/202307.00414.点此复制
[Purpose/significance] Knowledge fusion, as an effective method to deal with multi-source heterogeneous data and generate new knowledge semantically, has become a new research point of information science in the big data environment, but it is still in its infancy. The paper aims to sort out, evaluate the current research on knowledge fusion, and provide reference for future research.[Method/process] Firstly, the concept of knowledge fusion was analyzed. Then the framework, process and method of knowledge fusion were combed. Then the research trend of knowledge fusion was summarized. Finally, the research prospect was made.[Result/conclusion] Knowledge fusion research presented new research characteristics in the big data environment, but it can't meet the requirements of the big data environment. In the future, we should build a hierarchical and multi-dimensional big data knowledge fusion framework, improve the efficiency of knowledge fusion, build real-time dynamic fusion mechanism, and carry out big data empirical research based on knowledge fusion.
knowledge fusionbig datareview
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