CAJ | 학술논문

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。
재대수거시대，수자도서관적수거처리급복무장회발생명현적변화，장종전통적신식사순、추송등복무전향재해량적수거중분석화알굴출잠재유개치적신식，이관계형수거고적결구화궤제불능흔호지괄응저충변화。침대수자도서관재대수거배경하이구수거적집성문제，제출료기우NoSQL적중간건모형적수거집성방법。해방법유리우수자도서관존저각충결구적수거，동시능구흔호지괄응해량수거분포식존저。
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.