Affiliation:
1. MTA-PE Lendulet Complex Systems Monitoring Research Group, University of Pannonia, Hungary
Abstract
Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.
Funder
Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal
Subject
Multidisciplinary,General Computer Science
Cited by
32 articles.
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