BS-KGS: Blockchain Sharding Empowered Knowledge Graph Storage

Yue Zhang, Keke Gai*, Yihang Wei, Liehuang Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Utilizing blockchain-based storage in knowledge graph construction is considered an alternative to ensure both security and traceability of files. Sharding is a promising solution to improve blockchain throughput by concurrently processing transactions. However, there are two key challenges in sharding, namely, difficulties in generating transaction allocation strategy and security threats. This paper addresses above issues and proposes a blockchain sharding-empowered knowledge graph storage (BS-KGS) scheme. To achieve optimal transaction sharding strategies, we construct a dynamic programming algorithm that considers multiple resource constraints. Moreover, our approach guarantees transaction security via implementing several methods, including Verifiable Random Function (VRF), asset mortgage, and Practical Byzantine Fault Tolerance (PBFT) consensus. Evaluation results have demonstrated that our method is efficient in transaction sharding.

Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Proceedings
EditorsHan Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu, Sun-Yuan Kung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages451-462
Number of pages12
ISBN (Print)9783030821524
DOIs
Publication statusPublished - 2021
Event14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021 - Tokyo, Japan
Duration: 14 Aug 202116 Aug 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12817 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021
Country/TerritoryJapan
CityTokyo
Period14/08/2116/08/21

Keywords

  • Blockchain
  • Dynamic programming
  • Knowledge graph storage
  • Performance optimization
  • Transaction sharding

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