Construction and Service of University Intelligent Library Based on Data Driving
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When studying the challenges faced by libraries in the current big data environment and intelligent information service, we should further explore the construction idea of library intelligent information service system from the perspective of big data driving; Secondly, based on the information ecological chain theory and taking the library business process as the support and guidance, this paper constructs a big data-driven library intelligent information service system, which mainly includes three levels: infrastructure layer, data resource layer and service application layer, and discusses the functions and characteristics of each layer in detail. The research shows that the relevant system can integrate the library infrastructure, data resources, service applications and users, provide the development strategy of library intelligent information service driven by big data, reconstruct the business process of library intelligent information service, and realize the construction and development of library intelligent information service in the big data environment.
Data driven, Colleges and universities, Smart Library, Construction, service