【摘要】 大数据丰富了知识服务的内涵和手段,但也给知识服务带来了新的挑战。知识融合是在大数据环境下进行知识获取、组织和利用的有效途径。文章从知识融合的相关研究出发,探析了大数据环境下知识服务面临的问题及其对知识融合的需求,即知识融合的价值就在于从大量多源、异构、动态、碎片化、不确定及稀疏的数据源、知识源中挖掘出隐含的、有价值的、尚未被发现的信息和知识,最后构建了大数据环境下知识融合的基本框架模型。更多还原

【Abstract】 Big data enriches the connotation and means of the knowledge services,but it also brings new challenges to it.Knowledge fusion is an effective way to acquire,organize and use knowledge in big data environment.Based on the related research of knowledge fusion,this paper analyzes the problems existing in knowledge services under big data environment,and the demand for knowledge fusion.The value of knowledge fusion lies in mining the implicrt and useful information and knowledge from the massive,heterogeneous,dynamic and debric data.Finally,it presents the basic framework model for knowledge fusion in big data environment.更多还原