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Sensors 2018, 18(1), 313;

A Survey of Data Semantization in Internet of Things

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing 100083, China
Software School,University of South China, Hengyang 421001, China
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 16 January 2018 / Accepted: 18 January 2018 / Published: 22 January 2018
(This article belongs to the Special Issue Sensing, Data Analysis and Platforms for Ubiquitous Intelligence)
PDF [2049 KB, uploaded 2 February 2018]


With the development of Internet of Things (IoT), more and more sensors, actuators and mobile devices have been deployed into our daily lives. The result is that tremendous data are produced and it is urgent to dig out hidden information behind these volumous data. However, IoT data generated by multi-modal sensors or devices show great differences in formats, domains and types, which poses challenges for machines to process and understand. Therefore, adding semantics to Internet of Things becomes an overwhelming tendency. This paper provides a systematic review of data semantization in IoT, including its backgrounds, processing flows, prevalent techniques, applications, existing challenges and open issues. It surveys development status of adding semantics to IoT data, mainly referring to sensor data and points out current issues and challenges that are worth further study. View Full-Text
Keywords: Internet of Things; data semantization; ontologies Internet of Things; data semantization; ontologies

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Shi, F.; Li, Q.; Zhu, T.; Ning, H. A Survey of Data Semantization in Internet of Things. Sensors 2018, 18, 313.

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