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ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on semantically enriched Internet of Things sensor data. The data used for this study was obtained and replicated from previous research conducted by Business Insider, DAA, Deloitte, IoT Analytics GmbH, OSF, and PwC. I performed analyses and made estimates regarding Industry 4.0 framework and contributing digital technologies (%) and importance of big data and public sector open data for enterprises’ business activity (%). Data collected from 4,400 respondents are tested against the research model by using structural equation modeling.

Keywords: semantic modeling method; Internet of Things; sensor data

How to cite: Ionescu, Daniela (2019). “Semantically Enriched Internet of Things Sensor Data in Smart Networked Environments,” Analysis and Metaphysics 18: 30–36. doi:10.22381/AM1820194

Received 2 April 2019 • Received in revised form 22 August 2019
Accepted 23 August 2019 • Available online 8 December 2019

Daniela Ionescu
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The University of Bucharest, Romania

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