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Querying the IoT Using Multiresolution Contexts
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DOI：10.1109/JIOT.2020.3033669.png)
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Abstract
En 中文
People's daily life is increasingly intertwined with smart devices, which are more and more used in dynamic contexts. Therefore, searching and exploiting the wealth of information produced by the Internet of Things (IoT) require novel models, including a representation of the actual context of use. The definition of context is inherently difficult, due to the variety of application scenarios and user needs. In this article, we propose a general model for devices' contexts representing context components at different resolutions (or levels of granularity). This enables the definition of a multiresolution context-based algorithm for querying the IoT, according to given preferences and contexts that can be tightened or relaxed depending on the given application goal. Experimental results show how the proposed approach outperforms traditional solutions by increasing the retrieval of relevant results while keeping precision under control.
Keywords:
Context modeling
Internet of Things
Ontologies
Social networking (online)
Meteorology
Metadata
Smart devices
Context modeling
Internet of Things (IoT)
multidimensional systems
query processing
semantics
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