On The Application Of Big Data To Editorial Topic And Content Framework Selecting For Digital Educational Publications

This essay deals with the development of digital education publications represented by educational digital publications, online educational publications, e-schoolbags(e-textbooks), educational resources database from communication perspective and big data technology, explores the application of big data to digital educational publications editorial topic and content framework selecting, based on the following theories: the Long Tail Theory, Roger Fidler's Media Morphosis Theory, McLuhan's Media Theory, Paul Levinson's Theory of Media Forms.This essay sorts out the important concepts and key principles of the theories above-mentioned, defines the range of big data, digital publishing, educational publishing, digital educational publishing, digital education publications, analyzes the forms and categories of digital education publications, and puts forward the specific application of big data to digital education publications editorial topic and content framework selecting. This essay starts from the targets, sources and the specific usage of big data in digital educational publications editorial topic and content framework selecting, innovating editorial topic selecting and the sources of content framework selecting by big data; brings forward the new methods for the editorial topic and content framework selecting of digital educational publications with the help of big data in the following aspects: the usage of personalized internet information push apps, searching editorial topics and content framework in educational events of public opinion, sharing information by social networks, searching market vacancy for educational publications via internet, link resources based on internet, professional book review websites, etc. deepens the application of big data to the new channel of digital educational publications editorial topic and content framework selecting by proposing the following methods: the sharing of editorial topic and content framework selection information by publishing houses, the implementation of database strategy for digital educational publications editorial topic and content framework, the communication mechanism among the industry; analyzes the identification and refining of effective information, the classified processing of information by big data, the follow-up processing of digital educational publications editorial topic and content framework selection, such as setting up the database for the identification and refining of effective information; and finally sums up the proposals for the implementation of database for commercial digital educational publications editorial topic and content framework selection in the big data era.The combination of educational publications and big data technology results in the continuous development of digital educational publishing. During the development of digital educational publications, we can make progress in the exploration of digital educational publications proceeding with editorial topic and content framework selecting.