大数据时代的数字图书馆异构数据集成研究

摘要

In the big data age, data processing and services of digital library will change dramatically from the traditional information que-ry and push services to analyzing and mining the potential value of mass data. However, the structures and mechanisms of relational data-base are not well-adapted to the change. For the problem of digital library heterogeneous data integration in the context of big data, this paper proposed a middleware model heterogeneous data integration method based on NoSQL, which is conducive to digital library storing a variety of data, and well-adapted to mass data distributed storage.%在大数据时代，数字图书馆的数据处理及服务将会发生明显的变化，将从传统的信息查询、推送等服务转向在海量的数据中分析和挖掘出潜在有价值的信息，而关系型数据库的结构和机制不能很好地适应这种变化。针对数字图书馆在大数据背景下异构数据的集成问题，提出了基于NoSQL的中间件模型的数据集成方法。该方法有利于数字图书馆存储各种结构的数据，同时能够很好地适应海量数据分布式存储。