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Leveraging Protection and Efficiency of Query Answering in Heterogenous RDF Data Using Blockchain

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Book cover Data Management and Analysis

Part of the book series: Studies in Big Data ((SBD,volume 65))

Abstract

In recent years, the digital world has experienced a massive amount of data being captured in various domains due to improvements in technology. Accordingly, big data management has emerged for storing, managing, and extracting valuable knowledge from collected data. Due to the explosion of the amount of data, developing tools for accurate and timely integration of inherently heterogeneous data has become a critical need. In the first part of this study, we focus on a semantic data integration approach with a case study of a plant ontology to provide a uniform query interface between users and different data sources. In the second part of this study, we propose a distributed Hyperledger-based architecture to ensure data security and privacy preservation in a semantic data integration framework. Data privacy and security can potentially be violated by unauthorized users, or malicious entities. The proposed view layer architecture between heterogeneous data sources and user interface layer using distributed Hyperledger can ensure only authorized users have access to the data sources in order to protect the system against unauthorized violation and determine the degree of users’ permission for read and write access.

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Authors and Affiliations

  1. Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada

    Sara Hosseinzadeh Kassani, Kevin A. Schneider & Ralph Deters

Authors
  1. Sara Hosseinzadeh Kassani
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  2. Kevin A. Schneider
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  3. Ralph Deters
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Corresponding author

Correspondence to Sara Hosseinzadeh Kassani .

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Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Department of Computer Engineering Istanbul Medipol University Istanbul, Turkey, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada

    Mohammad Moshirpour

  3. Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada

    Behrouz Far

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Hosseinzadeh Kassani, S., Schneider, K.A., Deters, R. (2020). Leveraging Protection and Efficiency of Query Answering in Heterogenous RDF Data Using Blockchain. In: Alhajj, R., Moshirpour, M., Far, B. (eds) Data Management and Analysis. Studies in Big Data, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-32587-9_1

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  • DOI: https://doi.org/10.1007/978-3-030-32587-9_1

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  • Online ISBN: 978-3-030-32587-9

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