基于知识融合过程的大数据知识服务框架研究
发布时间:2018-10-13 09:10
【摘要】: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。
[Abstract]:The emergence of great knowledge in big data era puts forward new requirements for knowledge fusion. Under the environment of big data and network, this paper studies the requirement of knowledge fusion in knowledge service, defines the process of knowledge fusion, constructs a process model of knowledge fusion for materialized knowledge warehouse, virtual knowledge network and hybrid model. And applies it to big data knowledge service frame. Combining the process model of knowledge fusion with the application module of knowledge service can not only provide knowledge service strategy and knowledge service management mechanism for users' multi-level, individualized and innovative knowledge service demand. It can also provide theoretical support for the research of general knowledge fusion system and knowledge service architecture.
【作者单位】: 武汉大学信息管理学院;
【基金】:国家自然科学基金国际(地区)合作与交流项目“基于慢病知识管理的智慧养老平台研究”(项目编号:71661167007)的研究成果之一
【分类号】:G252
本文编号:2268049
[Abstract]:The emergence of great knowledge in big data era puts forward new requirements for knowledge fusion. Under the environment of big data and network, this paper studies the requirement of knowledge fusion in knowledge service, defines the process of knowledge fusion, constructs a process model of knowledge fusion for materialized knowledge warehouse, virtual knowledge network and hybrid model. And applies it to big data knowledge service frame. Combining the process model of knowledge fusion with the application module of knowledge service can not only provide knowledge service strategy and knowledge service management mechanism for users' multi-level, individualized and innovative knowledge service demand. It can also provide theoretical support for the research of general knowledge fusion system and knowledge service architecture.
【作者单位】: 武汉大学信息管理学院;
【基金】:国家自然科学基金国际(地区)合作与交流项目“基于慢病知识管理的智慧养老平台研究”(项目编号:71661167007)的研究成果之一
【分类号】:G252
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