Open Access
ARTICLE
Provenance Method of Electronic Archives Based on Knowledge Graph in Big Data Environment
Chun Xu1, Jiang Xu1,2,*
1 Nanjing University of Information Science & Technology, Nanjing, 210044, China
2 Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing, 210044, China
* Corresponding Author: Jiang Xu. Email: renyj100@126. com
Journal of Information Hiding and Privacy Protection 2021, 3(2), 91-99. https://doi.org/10.32604/jihpp.2021.019883
Received 29 April 2021; Accepted 30 May 2021; Issue published 30 July 2021
Abstract
With the advent of the era of big data, the Provenance Method of
electronic archives based on knowledge graph under the environment of big data
has produced a large number of electronic archives due to the development of
science and technology. How to guarantee the credential characteristics of
electronic archives in the big data environment has attracted wide attention of the
academic community. Provenance is an important technical means to guarantee
the certification of electronic archives. In this paper, knowledge graph
technology is used to provide the concept provenance of electronic archives in
large data environment. It not only enriches the provenance method, but also
guarantees the certification of electronic archives in the large data environment.
Keywords
Cite This Article
C. Xu and J. Xu, "Provenance method of electronic archives based on knowledge graph in big data environment,"
Journal of Information Hiding and Privacy Protection, vol. 3, no.2, pp. 91–99, 2021. https://doi.org/10.32604/jihpp.2021.019883