图书馆大数据分析:挑战、设计和展望

Big Data Analysis of Library:Challenges, Designs and Forecasts

大数据分析始终是图书馆服务的重要环节,与传统的图书馆数据分析相比,大数据分析具有数据海量、多样、快速、真实的特点。论文提出了图书馆大数据分析领域数据存储、弱可用性、数据建模、资源调度和个人隐私保护等五大关键性挑战问题,最后,设计了一种大数据分析模型。该大数据分析模型明显提高图书馆对海量数据的处理能力,能够发现大数据之间存在的关系和规则,可有效预测图书馆服务未来的发展趋势,从而增强图书馆服务决策的准确性和科学性。

Big data analysis is always an important part of library services. Compared with traditional data analysis of library,big data analysis is volume, variety, velocity and veracity. This paper comes up with five key challenges in big data analysis of library,such as data storage,weak data usability,data modeling,resource distribution and personal privacy preservation. At last, it designs a big data analytical model which can greatly improve the processing capability of mass data of library, find the relationship and rule between big data, predict the future trend of library services, and improve veracity and scientificity of the decision- making in library services.