大数据出版:内涵及其实践运用  

Big Data Publishing:Connotation and Practical Application

作　　者：李德团[1] 雷晓艳[2] 

机构地区：[1]湖南科技学院新媒体与社会发展研究所,湖南永州425199 [2]湖南工业大学文学与新闻传播学院,湖南株洲412007

出　　处：《编辑之友》2016年第4期22-26,共5页Editorial Friend

摘　　要：大数据出版视数据为出版资产,以数据统领出版的全过程,强调数据的商业价值。文章从大数据的演进逻辑及出版业的演进路径两方面出发,认为大数据出版是指在传统出版的数字化升级推进中,通过网络化发展,创新运用、分析、挖掘、预测、分享海量数据,以数据为资产,实现出版资源优化整合和出版流程再造,形成线上线下的整合新型出版模式。其实践运用体现在:运用大数据洞察消费者的需求,解决出版的前端问题;通过挖掘大数据,解决出版的中端问题;通过大数据共享,实现出版的跨域关联,解决出版的可持续性问题。Big data pubfication takes data as the publishing assets and guide, which emphasizes the commercial value of data. From big data evolution logic and publishing industry evolution path, the paper considers that big data publishing is the digital upgrade of traditional publishing, through networked development, innovation application, analysis, excavation, prediction and sharing massive amounts of data, it takes data as assets to achieve the optimization and integration of publishing resources and re-engineering of publishing process, shape integrated publishing of online and offline. Its practical uses are mainly reflected in three aspects： the first is to use big data insight into consumer demand, to solve the preliminary publishing problems; the second is through data mining, to solve the problem of medium-term publishing problems; the third is through data sharing, to achieve cross-domain association of publishing and solve the sustamability issue of publishing.

关 键 词：大数据 数字化 网络化 大数据出版 跨域关联 

分 类 号：G231[文化科学]