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

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.