A systematic literature review on semantic models for IoT-enabled smart campus

Published on Jan 1, 2021in Applied Ontology0.852
· DOI :10.3233/AO-200240
Soulakshmee D. Nagowah5
Estimated H-index: 5
(UoM: University of Mauritius),
Hatem Ben Sta3
Estimated H-index: 3
(Tunis University),
Baby Gobin-Rahimbux3
Estimated H-index: 3
(UoM: University of Mauritius)
Sources
Abstract
References96
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With the rapid development of big data, Internet of things, artificial intelligence and 5G technology, the construction of smart campus has become the development trend of Chinese universities. Objective: through the combination of sustainable methods and service systems, to reconstruct the Chinese campus service system, optimize teaching, management and information systems, improve user experience, and promote the transformation, upgrading and sustainable development of smart campus. Methods: f...
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Since the beginning of the 21st century, the Internet has not only been widely used in various industrial networks, but has gradually extended to every aspect of people’s lives. In recent years, the Internet technology based on big data has been extended to campus, which has put forward higher requirements for the construction of smart campus. Cloud computing and big data technology are typical representatives of information operation efficiency, and new technologies emerge one after another. Th...
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As the high-end form of a smart education system, the smart campus has received increasing research attention over the world. Owing to the multidisciplinary nature of the smart campus, the existing research is mostly one-ended on either the state-or-the-art technologies or the innovative education concepts but lacks a deep fusion view on them and omits the smart campus implication on other smart city domains. This study highlights the interdisciplinary view on smart campus. Based on an integral ...
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With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analyzed, but rarely combined, due to the heterogeneity of sources and technologies. Semantics are increasingly used to share sensory data, but not so much for annotating stream data. Semantic models for stream annotation are scarce, as generally semantics are heavy to process and not ideal for Internet of things (IoT) environments, where the data are frequently updated. We present a light model to se...
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Currently, the integration of technologies such as the Internet of Things and big data seeks to cover the needs of an increasingly demanding society that consumes more resources. The massification of these technologies fosters the transformation of cities into smart cities. Smart cities improve the comfort of people in areas such as security, mobility, energy consumption and so forth. However, this transformation requires a high investment in both socioeconomic and technical resources. To make t...
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The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modeling the interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observatio...
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The literature asserts that the design of an ontology-based privacy model is an essential starting point to address privacy risks in IoT, where connected devices are increasingly capable of monitoring human activities. Due to the omnipresence of data privacy concerns in IoT, we highlight the need for privacy ontologies that combine an expressive vocabulary with extension points but that do not overload the processing of privacy policies data. This paper presents IoT-Priv as a lightweight privacy...
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