Τίτλος:
ISLAND: An Interlinked Semantically-Enriched Blockchain Data Framework
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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. © 2021, Springer Nature Switzerland AG.
Συγγραφείς:
Kalafatelis, A.
Panagos, K.
Giannopoulos, A.E.
Spantideas, S.T.
Kapsalis, N.C.
Touloupou, M.
Kapassa, E.
Katelaris, L.
Christodoulou, P.
Christodoulou, K.
Trakadas, P.
Περιοδικό:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Εκδότης:
Springer Science and Business Media Deutschland GmbH
Λέξεις-κλειδιά:
Abstracting; Blockchain; Data handling; Machine learning, Block-chain; Business innovation; Data framework; Data semantics; Decentralized data distribution; Emerging technologies; Large amounts; Semantic annotations; Semantic blockchain; Semantic-Web, Linked data
DOI:
10.1007/978-3-030-92916-9_19
