Research Area:  Internet of Things
Ensuring semantic interoperability in the future Internet of Things can be a challenging task due to their heterogeneous nature and increasing scale. Ontologies are widely used to achieve semantic interoperability among IoT applications and services. But, available ontologies are very complex, static or unable to fulfill the requirements of IoT. To address this concern, we proposed a light-weight dynamic ontology using only the most important concepts and clustering technique. It provides dynamic semantics automatically to include additional concepts using machine learning technique. Compared to the existing ontology, the proposed model reduces query response time and memory consumption to some extent.
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Author(s) Name:  Hafizur Rahman, Md. Iftekhar Hussain
Journal name:  ICT Express
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Publisher name:  Elsevier
DOI:  10.1016/j.icte.2020.12.002
Volume Information:   Volume 7, Issue 3, September 2021, Pages 355-360
Paper Link:   https://www.sciencedirect.com/science/article/pii/S2405959520304902