TY - GEN
T1 - ISLAND
T2 - 18th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2021
AU - Kalafatelis, Alexandros
AU - Panagos, Konstantinos
AU - Giannopoulos, Anastasios E.
AU - Spantideas, Sotirios T.
AU - Kapsalis, Nikolaos C.
AU - Touloupou, Marios
AU - Kapassa, Evgenia
AU - Katelaris, Leonidas
AU - Christodoulou, Panayiotis
AU - Christodoulou, Klitos
AU - Trakadas, Panagiotis
N1 - Funding Information:
It is highlighted that the ISLAND architecture has been proposed and selected for funding during the open call of the European Commission project ONTOCHAIN, under the Horizon 2020 framework [11].
Funding Information:
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/).
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Linked data
KW - Machine learning
KW - Semantic blockchain
UR - http://www.scopus.com/inward/record.url?scp=85121878046&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-92916-9_19
DO - 10.1007/978-3-030-92916-9_19
M3 - Conference contribution
AN - SCOPUS:85121878046
SN - 9783030929152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 207
EP - 214
BT - Economics of Grids, Clouds, Systems, and Services - 18th International Conference, GECON 2021, Proceedings
A2 - Tserpes, Konstantinos
A2 - Bañares, José Ángel
A2 - Djemame, Karim
A2 - Tuffin, Bruno
A2 - Altmann, Jörn
A2 - Ben-Yehuda, Orna Agmon
A2 - Stankovski, Vlado
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 21 September 2021 through 23 September 2021
ER -