BIBLIOMETRIC ANALYSIS SUPPORTED REVIEW ON WEB 3.0 BASED DATA ANALYTICS FOR IIOT ENABLED SYSTEM
DOI:
https://doi.org/10.62373/hcmepb46Keywords:
WEB 3.0, DATA ANALYTICS, INDUSTRIAL INTERNET OF THINGS, BLOCKCHAIN, BIBLIOMETRIC ANALYSISAbstract
Web 3.0 technology is currently attracting more attention regarding its critical application in the use of next-generation data analytics in the IIoT industry. Web 3.0 technology acts as a basis for the development of a distributed smart architecture in the IIoT industry. Various research studies have proved that the use of data analytics can generate a great improvement in the context of efficiency and decision-making in the IIoT industry. Scalability issues, interoperability issues, real-time data analytics, and issues of privacy are considered to be the challenges in the current data analytics systems in the IIoT industry. The review article will present a current understanding on the basis of the latest research studies on the application of Web 3.0 technology in the context of data analytics in the IIoT industry. Through systematic and bibliometric analysis, the paper identifies the research trends, thematic development, and research gaps in the available literature on data analytics in the Web 3.0-IIoT domain.
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