A Distributed Graph Data Storage in Ethereum Ecosystem

Tomaszuk, Dominik; Kuzinski, Dominik; Sopek, Mirek; Swiecicki, Bogusław

doi:10.1007/978-3-030-92916-9_21

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Wang et al [11] study a scheme of processing file storage and traceability of knowledge graphs based on BCT and distributed file storage system. Sopek et al [12] and Tomaszuk et al [13] introduce and extend GraphChain as a framework for on-chain data management for BCT using the synergies between ontologies and BCT. This permits storing data in native semantic formats.…”

Section: A Blockchain Technologymentioning

confidence: 99%

“…Searching for information in DL will be improved, search property will be more accurate and will use domain specific terms across multiple ledgers with improved power, usability and BCT scope and services [10]. Furthermore, searching will achieve higher accuracy for ranked results [13]. Data can also be simply linked to other sources of information using ST approaches.…”

Section: B Advantages Disadvantages and Limitationsmentioning

confidence: 99%

“…Applying the GraphChain architecture in synergy with Ethereum BCT can create a distributed graph data storage to enhance BCT storage. Furthermore, a service-layer can be added that employs data-graphs, reasoning, and underlying inference rules to fulfill advanced requirements for handling sophisticated data models in BCT [13].…”

Section: Technical Perspectivementioning

confidence: 99%

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