Abstract
GraphChain – a framework for on-chain data management for Blockchains is presented. The framework forms the foundational technology for the Ontochain project offering the synergy between ontologies and the Blockchain mechanisms. The use of Ethereum based Layer-2 mechanisms helped create the idea of Ontospace, which designates an ecosystem for trusted ontologies and trusted processing of smart contracts that can directly use the semantic data.
Supported by Ontochain (European Union’s Horizon 2020 research and innovation programme under grant agreement No 957338), and its subprogramme GraphChain – a framework for on-chain data management for Ontochain under grant agreement No. 1477973.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aggarwal, S., Kumar, N.: Hyperledger. In: Advances in Computers, vol. 121, pp. 323–343. Elsevier (2021). https://doi.org/10.1016/bs.adcom.2020.08.016
Bizer, C., Heath, T., Berners-Lee, T.: Linked data: the story so far. In: Semantic Services, Interoperability and Web Applications: Emerging Concepts, pp. 205–227. IGI global (2011). https://doi.org/10.4018/978-1-60960-593-3.ch008
Buterin, V., et al.: Ethereum white paper (2013). https://ethereum.org/en/whitepaper/
Harris, S., Seaborne, A.: SPARQL 1.1 query language. W3C recommendation, W3C (Mar 2013). https://www.w3.org/TR/2013/REC-sparql11-query-20130321/
Hartig, O., Hidders, J.: Defining schemas for property graphs by using the GraphQL schema definition language. In: Proceedings of the 2nd Joint Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, pp. 1–11 (2019). https://doi.org/10.1145/3327964.3328495
Hartig, O., Pérez, J.: Semantics and complexity of GraphQL. In: Proceedings of the 2018 World Wide Web Conference, pp. 1155–1164 (2018). https://doi.org/10.1145/3178876.3186014
Kasenchak, B., Lehnert, A., Loh, G.: Use case: ontologies and RDF-star for knowledge management. In: European Semantic Web Conference, pp. 254–260. Springer (2021). https://doi.org/10.1007/978-3-030-80418-3_38
Ogbuji, C.: SPARQL 1.1 graph store HTTP protocol. W3C recommendation, W3C (Mar 2013). https://www.w3.org/TR/2013/REC-sparql11-http-rdf-update-20130321/
Rondelet, A.: Zecale: reconciling privacy and scalability on ethereum. arXiv preprint arXiv:2008.05958 (2020)
Salehpour, M., Davis, J.G.: A comparative analysis of knowledge graph query performance. arXiv preprint arXiv:2004.05648 (2020)
Sopek, M., Gradzki, P., Kosowski, W., Kuziski, D., Trójczak, R., Trypuz, R.: GraphChain: a distributed database with explicit semantics and chained RDF graphs. In: Companion Proceedings of the Web Conference 2018, pp. 1171–1178 (2018). https://doi.org/10.1145/3184558.3191554
Taelman, R., Vander Sande, M., Verborgh, R.: GraphQL-LD: linked data querying with GraphQL. In: ISWC2018, The 17th International Semantic Web Conference, pp. 1–4 (2018)
Tomaszuk, D., Hyland-Wood, D.: RDF 1.1: knowledge representation and data integration language for the web. Symmetry 12(1), 84 (2020). https://doi.org/10.3390/sym12010084
Tzianos, P., Pipelidis, G., Tsiamitros, N.: Hermes: an open and transparent marketplace for IoT sensor data over distributed ledgers. In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp. 167–170. IEEE (2019). https://doi.org/10.1109/BLOC.2019.8751331
Wang, D., Zhou, J., Wang, A., Finestone, M.: Loopring: a decentralized token exchange protocol (2018). https://github.com/Loopring/whitepaper/blob/master/en_whitepaper.pdf
Williamson, Z.J.: The aztec protocol (2018). https://github.com/AztecProtocol/AZTEC
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Tomaszuk, D., Kuziński, D., Sopek, M., Swiecicki, B. (2021). A Distributed Graph Data Storage in Ethereum Ecosystem. In: Tserpes, K., et al. Economics of Grids, Clouds, Systems, and Services. GECON 2021. Lecture Notes in Computer Science(), vol 13072. Springer, Cham. https://doi.org/10.1007/978-3-030-92916-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-92916-9_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-92915-2
Online ISBN: 978-3-030-92916-9
eBook Packages: Computer ScienceComputer Science (R0)