探讨面向媒体融合的异构媒体关联与挖掘  

Heterogeneous Media Association and Mining Facing Media Amalgamation

作　　者：席岩[1] 王磊[1] 郭晓霞[1] 沈阳[1] 

机构地区：[1]国家新闻出版广电总局广播科学研究院,北京100866

出　　处：《广播与电视技术》2016年第7期33-37,共5页Radio & TV Broadcast Engineering

摘　　要：在媒体融合中,异构数据的关联挖掘是其中一个核心问题。本文对异构数据的关联与挖掘的重要意义进行了说明,并列出了近期的研究工作。随后,我们分别讨论了异构数据关联挖掘的三个主要类别:时序关联、结构关联、语义关联,对其中的方法进行了分析和讨论。最后,对面向媒体融合的异构媒体关联与挖掘进行了总结与展望。In media convergence, the association and mining of heterogeneous data is oneof the core problems. In this paper, we elaborate the significance of association and mining of heterogeneous data, and present the related work. Then, we discuss three categories of association and n-fin- ing of heterogeneous heterogeneousism data, such as temporal sequence association, structural association, and semantic association. Numerous methods are discussed. Finally, we make a summary and expectation for this research.

关 键 词：媒体融合 异构媒体关联 时序关联 结构关联 语义关联 

分 类 号：TP30[自动化与计算机技术—计算机系统结构]