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Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments

Youcef Djenouri, Gautam Srivastava, Asma Belhadi, Jerry Chun‐Wei Lin

2021Transactions on Emerging Telecommunications Technologies39 citationsDOIOpen Access PDF

Abstract

Abstract This article introduces a new problem of distributed knowledge graph, in IoT 5G setting. We developed an end‐to‐end solution for solving such problem by exploring the blockchain management and intelligent method for producing the better matching of the concepts and relations of the set of knowledge graphs. The concepts and the relations of the knowledge graphs are divided into several components, each of which contains similar concepts and relations. Instead of exploring the whole concepts and the relations of the knowledge graphs, only the representative of these components is compared during the matching process. The framework has outperformed state‐of‐the‐art knowledge graph matching algorithms using different scenarios as input in the experiments. In addition, to confirm the usability of our suggested framework, an in‐depth experimental analysis has been done; the results are very promising in both runtime and accuracy.

Topics & Concepts

Computer scienceKnowledge graphBlockchainMatching (statistics)Theoretical computer scienceUsabilityGraphInternet of ThingsSet (abstract data type)Distributed computingArtificial intelligenceHuman–computer interactionMathematicsProgramming languageWorld Wide WebComputer securityStatisticsBlockchain Technology Applications and SecurityData Quality and ManagementCloud Data Security Solutions
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