基于AI的第三代图书馆服务平台数据管理研究

Research on Data Management of the Third Generation Library Service Platform Based on AI

当前,图书馆正在进入以智慧图书馆为代表的第三代图书馆时代,传统的关系型数据库管理系统无法满足当前图书馆复杂大数据的管理需求,人工智能技术的发展,以其强大的学习、推理与规划能力,为大数据时代的图书馆数据管理提供了新的机遇。论文首先研究了第三代图书馆基于AI(人工智能)的大数据管理技术,然后定义了其数据管理的内容与目标,最后构建了第三代图书馆的AI大数据管理平台系统。该系统充分利用AI技术海量存储、高性能分布计算、机器学习、逻辑推理与自动进化等能力,实现了数据、人员、知识和服务的高度聚合,可为图书馆读者个性化定制服务、服务系统运营管理、经营策略制定与运行、未来发展战略规划提供可靠的大数据科学决策支持。

Today’s libraries are entering the third generation,and traditional relational database management system do not meet the needs of complex big data management in the current library,the development of artificial intelligence provides a brand-new opportunity for data management of libraries in the age of big data with its power in learning,reasoning,and planning.Firstly,this paper studies the big data management technology of the third generation library based on AI.Then,it defines the content and objectives of big data management of the third generation library based on AI.Finally,the big data management platform of third generation library based on AI is constructed.The system makes full use of massive storage,high-performance distributed computing,machine learning,logical reasoning and automatic evolution capabilities of AI technology,enabling a high degree of aggregation of data,people,knowledge and services,it can provide reliable big data scientific decision support for library readers’personalized customization service,service system operation management,business strategy formulation and operation,and future development strategy planning.