Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem

Gyan Wickremasinghe; Siofra Frost; Karen Rafferty; Vishal Sharma

doi:10.1109/ICBC59979.2024.10634370

Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem

Gyan Wickremasinghe^*, Siofra Frost, Karen Rafferty, Vishal Sharma

^*Corresponding author for this work

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

43 Downloads (Pure)

Abstract

Supply chain management is one of the leading applications of chain-based distributed ledger technology, such as blockchain, due to its features of traceability, automation through smart contracts, tamper-resistance and immutability. One of the most common types of blockchain implementation for a supply chain ecosystem is Hyperledger Fabric, which follows a modular architecture. Within the supply chain, innovators have been emphasising scenario generation for trade optimisation via predictive algorithms using content from the blockchain. However, to support such utilities, a pipeline with data accessibility is required, which is the motivation behind this work. Chaincode, InterPlanetary File System (IPFS) and off-chain execution enable the pipeline to provide knowledge graphs that can further facilitate insights into the type of blockchain data with better control and privacy-aware filtration.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	15-16
Number of pages	2
ISBN (Electronic)	9798350316742
ISBN (Print)	9798350316759
DOIs	https://doi.org/10.1109/ICBC59979.2024.10634370
Publication status	Published - 21 Aug 2024
Event	IEEE International Conference on Blockchain and Cryptocurrency 2024 - Trinity College Dublin, Dublin, Ireland Duration: 27 May 2024 → 31 May 2024 https://icbc2024.ieee-icbc.org/

Publication series

Name	IEEE ICBC Proceedings
ISSN (Print)	2832-8892
ISSN (Electronic)	2832-8906

Conference

Conference	IEEE International Conference on Blockchain and Cryptocurrency 2024
Abbreviated title	IEEE ICBC 2024
Country/Territory	Ireland
City	Dublin
Period	27/05/2024 → 31/05/2024
Internet address	https://icbc2024.ieee-icbc.org/

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This work is licensed under Queen’s Research Publications and Copyright Policy.

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10.1109/ICBC59979.2024.10634370Licence: Unspecified

Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem
Copyright 2024 the authors. This is an accepted manuscript distributed under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Accepted author manuscript, 1.33 MBLicence: CC BY

Cite this

Wickremasinghe, G., Frost, S., Rafferty, K., & Sharma, V. (2024). Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem. In Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024 (pp. 15-16). (IEEE ICBC Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBC59979.2024.10634370

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title = "Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem",

abstract = "Supply chain management is one of the leading applications of chain-based distributed ledger technology, such as blockchain, due to its features of traceability, automation through smart contracts, tamper-resistance and immutability. One of the most common types of blockchain implementation for a supply chain ecosystem is Hyperledger Fabric, which follows a modular architecture. Within the supply chain, innovators have been emphasising scenario generation for trade optimisation via predictive algorithms using content from the blockchain. However, to support such utilities, a pipeline with data accessibility is required, which is the motivation behind this work. Chaincode, InterPlanetary File System (IPFS) and off-chain execution enable the pipeline to provide knowledge graphs that can further facilitate insights into the type of blockchain data with better control and privacy-aware filtration.",

author = "Gyan Wickremasinghe and Siofra Frost and Karen Rafferty and Vishal Sharma",

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booktitle = "Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024",

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note = "IEEE International Conference on Blockchain and Cryptocurrency 2024, IEEE ICBC 2024 ; Conference date: 27-05-2024 Through 31-05-2024",

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Wickremasinghe, G, Frost, S, Rafferty, K & Sharma, V 2024, Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem. in Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024. IEEE ICBC Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 15-16, IEEE International Conference on Blockchain and Cryptocurrency 2024, Dublin, Ireland, 27/05/2024. https://doi.org/10.1109/ICBC59979.2024.10634370

Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem. / Wickremasinghe, Gyan; Frost, Siofra; Rafferty, Karen et al.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 15-16 (IEEE ICBC Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Supply chain management is one of the leading applications of chain-based distributed ledger technology, such as blockchain, due to its features of traceability, automation through smart contracts, tamper-resistance and immutability. One of the most common types of blockchain implementation for a supply chain ecosystem is Hyperledger Fabric, which follows a modular architecture. Within the supply chain, innovators have been emphasising scenario generation for trade optimisation via predictive algorithms using content from the blockchain. However, to support such utilities, a pipeline with data accessibility is required, which is the motivation behind this work. Chaincode, InterPlanetary File System (IPFS) and off-chain execution enable the pipeline to provide knowledge graphs that can further facilitate insights into the type of blockchain data with better control and privacy-aware filtration.

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Wickremasinghe G, Frost S, Rafferty K , Sharma V. Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem. In Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 15-16. (IEEE ICBC Proceedings). doi: 10.1109/ICBC59979.2024.10634370

Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem

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