Abstract
Blockchain is currently one of the most popular technologies, providing privacy, transparency and trust. However, until now, it does not take into consideration the large amount of existing data and standards for decentralized data distribution and processing on the Web, that would leash new opportunities and business innovations for this emerging technology. Moreover, according to the vision of the Semantic Web, a key concept lies on data (semantic) annotations, querying and interlinking. Nevertheless, exporting knowledge resulting from different and possible interlinked blockchain networks, is still a major challenge. To address the aforementioned challenges, we propose ISLAND, a modular framework that is set to expose a unified abstraction layer to any data consumer that aims to infer meaningful knowledge from blockchain generated data, while at the same time enabling the semantic interoperability of them. In addition, a smart manufacturing use case scenario is presented as well as the potential business impacts are discussed.
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Acknowledgments
This work has been partially supported by the ONTOCHAIN project, funded by the European Commission under Grant Agreement H2020-ICT-2020-1, No. 957338 through the Horizon 2020 program (https://ontochain.ngi.eu/).
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Kalafatelis, A. et al. (2021). ISLAND: An Interlinked Semantically-Enriched Blockchain Data Framework. 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_19
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DOI: https://doi.org/10.1007/978-3-030-92916-9_19
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