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大数据时代大知识的出现,对知识融合提出了新的要求。在大数据和网络环境下,研究知识服务中的知识融合需求,界定知识融合的过程,构建面向物化知识仓库、面向虚拟知识网络和面向混合模式的知识融合过程模型,并将其应用于大数据知识服务框架中。将知识融合的过程模型与知识服务的应用模块有机结合起来,不仅可以为用户的多层次、个性化、创新型知识服务需求提供知识服务策略和知识服务管理机制,还可以为通用型知识融合体系和知识服务架构研究提供理论支持。
The advent of big knowledge in the big data era has put forward new requirements for the integration of knowledge. Under the environment of big data and network, this paper studies the knowledge fusion requirement in knowledge service, defines the process of knowledge fusion, constructs knowledge fusion process model oriented to materialized knowledge warehouse, virtual knowledge network and mixed mode, and applies it to big data Knowledge service framework. The combination of process model of knowledge fusion and application module of knowledge service can not only provide knowledge service strategy and knowledge service management mechanism for multi-level, individualized and innovative knowledge service needs of users, but also can be used for universal knowledge integration system And knowledge service architecture to provide theoretical support.