OD4CoT: an ontology-based dataset for the Context of Things

• Henrique de S. Santana UFV
• João Gabriel A. Bradachi UFV / Manna Team
• Maria Eduarda O. G. Andrade UFV / Manna Team
• Aléxia K. A. G. Silva UFV
• Thais R. M. B. Silva UFV / Manna Team
• Fabrício A. Silva UFV / Manna Team
• Linnyer B. R. Aylon UEM / Manna Team

DOI: https://doi.org/10.5753/sbcup.2025.9216

Abstract

Internet of Things (IoT) applications depend on environments composed of smart objects, whose diverse characteristics are called Context of Things in this study. With the goal of sharing to the academia and to the related industry a structured listing of smart objects, contexts of things and the mapping between them, we present the OD4CoT dataset. We discussed its development process, as well as its ontological representation, covering 408 real instances of smart objects. A data analysis revelead that primary features and descriptions about the objects represent 24,2% of context instances, while 13,5% of context categories are found in only one object.

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