@Article{jihpp.2021.019883,
AUTHOR = {Chun Xu, Jiang Xu},
TITLE = {Provenance Method of Electronic Archives Based on Knowledge Graph in Big  Data Environment},
JOURNAL = {Journal of Information Hiding and Privacy Protection},
VOLUME = {3},
YEAR = {2021},
NUMBER = {2},
PAGES = {91--99},
URL = {http://www.techscience.com/jihpp/v3n2/43994},
ISSN = {2637-4226},
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.},
DOI = {10.32604/jihpp.2021.019883}
}