ISLAND: An Interlinked Semantically-Enriched Blockchain Data Framework

Alexandros Kalafatelis, Konstantinos Panagos, Anastasios E. Giannopoulos, Sotirios T. Spantideas, Nikolaos C. Kapsalis, Marios Touloupou, Evgenia Kapassa, Leonidas Katelaris, Panayiotis Christodoulou, Klitos Christodoulou, Panagiotis Trakadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationEconomics of Grids, Clouds, Systems, and Services - 18th International Conference, GECON 2021, Proceedings
EditorsKonstantinos Tserpes, José Ángel Bañares, Karim Djemame, Bruno Tuffin, Jörn Altmann, Orna Agmon Ben-Yehuda, Vlado Stankovski
PublisherSpringer Science and Business Media Deutschland GmbH
Pages207-214
Number of pages8
ISBN (Print)9783030929152
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event18th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2021 - Virtual, Online
Duration: 21 Sep 202123 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13072 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2021
CityVirtual, Online
Period21/09/2123/09/21

Keywords

  • Linked data
  • Machine learning
  • Semantic blockchain

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