TY - GEN
T1 - Hierarchical Privacy-Preserved Knowledge Graph
AU - Chen, Xiaolu
AU - Bao, Jie
AU - Zhou, Pengyuan
AU - Liao, Yong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The knowledge graphs have found widespread use in numerous areas. However, as its applications expand, privacy concerns have been raised due to its ability to reveal links between entities in the real world. This brief work introduces an innovative approach to address the concern by considering the hierarchical structure of the knowledge graph to safeguard the privacy of information presented in knowledge graphs.
AB - The knowledge graphs have found widespread use in numerous areas. However, as its applications expand, privacy concerns have been raised due to its ability to reveal links between entities in the real world. This brief work introduces an innovative approach to address the concern by considering the hierarchical structure of the knowledge graph to safeguard the privacy of information presented in knowledge graphs.
KW - hierarchical presentation
KW - knowledge graph
KW - privacy preservation
UR - https://www.scopus.com/pages/publications/85175081389
U2 - 10.1109/ICDCS57875.2023.00097
DO - 10.1109/ICDCS57875.2023.00097
M3 - Article in proceedings
AN - SCOPUS:85175081389
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 977
EP - 978
BT - Proceedings - 2023 IEEE 43rd International Conference on Distributed Computing Systems, ICDCS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023
Y2 - 18 July 2023 through 21 July 2023
ER -