Research on the integration of library e-book borrowing history data based on big data technology

Issue title: Big Data Networking-Challenges and Applications

Guest editors: Zhixiang Hou and Chong Shen

Article type: Research Article

Authors: Wang, Hao^{; *}

Affiliations: Heilongjiang Bayi Agricultural University, Daqing 163319, China. E-mail: [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: In order to overcome the shortcomings of the traditional method of integrating historical data of library e-book borrowing, such as high delay and low integration throughput, this paper proposes a method of integrating historical data of library e-book borrowing based on big data technology. Based on big data technology, this method builds an integrated platform for library e-book borrowing, which consists of data layer, business layer, interface layer and application layer. Through the data layer, a series of borrowing historical data generated by the borrowing integration platform are collected, and data integration module is used to clean and filter the collected borrowing historical data of e-books. The data integration layer solves the local distortion and realizes the integrated processing of borrowed historical data. Experimental results show that the proposed method has the advantages of short time delay and low integration error rate, and the highest integration throughput can reach 97%.

Keywords: Big data, e-book, borrowing, historical data, integration

DOI: 10.3233/WEB-200433

Journal: Web Intelligence, vol. 18, no. 2, pp. 111-120, 2020