OD4CoT: um dataset baseado em ontologia para o Contexto das Coisas
Resumo
As aplicações de Internet das Coisas (IoT) dependem de ambientes compostos por objetos inteligentes, cujas variadas características chamamos neste trabalho de Contexto das Coisas. Com o objetivo de disponibilizar à academia e à indústria relacionada um levantamento estruturado de objetos inteligentes, contextos das coisas e a relação entre eles, apresentamos o dataset OD4CoT. Foi discutido seu processo de construção, bem como sua representação ontológica, cobrindo 408 instâncias de objetos inteligentes reais. Uma análise dos dados revelou que funcionalidades e descrições mais básicas sobre os objetos representam 24,2% das instâncias de contexto, enquanto que 13,5% das categorias de contexto são encontradas em apenas um objeto.Referências
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Xu, L. D., He, W., and Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4):2233–2243.
Xue, L., Liu, Y., Zeng, P., Yu, H., and Shi, Z. (2015). An ontology based scheme for sensor description in context awareness system. In 2015 IEEE international conference on information and automation, pages 817–820. IEEE.
Atzori, L., Iera, A., and Morabito, G. (2017). Understanding the internet of things: definition, potentials, and societal role of a fast evolving paradigm. Ad Hoc Networks, 56:122–140.
Beckett, D., Berners-Lee, T., Prud’hommeaux, E., and Carothers, G. (2014). Rdf 1.1 turtle. World Wide Web Consortium, pages 18–31.
Bermudez-Edo, M., Elsaleh, T., Barnaghi, P., and Taylor, K. (2016). Iot-lite: a lightweight semantic model for the internet of things. In 2016 INTL IEEE conferences on ubiquitous intelligence & computing, advanced and trusted computing, scalable computing and communications, cloud and big data computing, internet of people, and smart world congress (uic/atc/scalcom/cbdcom/iop/smartworld), pages 90–97. IEEE.
Compton, M., Barnaghi, P., Bermudez, L., Garcia-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., et al. (2012). The ssn ontology of the w3c semantic sensor network incubator group. Journal of Web Semantics, 17:25–32.
Consortium, W. W. W. et al. (2012). Owl 2 web ontology language document overview. W3C Recommendation.
Dadkhah, S., Mahdikhani, H., Danso, P. K., Zohourian, A., Truong, K. A., and Ghorbani, A. A. (2022). Towards the development of a realistic multidimensional iot profiling dataset. In 2022 19th Annual International Conference on Privacy, Security & Trust (PST), pages 1–11. IEEE.
De Keersmaeker, F., Cao, Y., Ndonda, G. K., and Sadre, R. (2023). A survey of public iot datasets for network security research. IEEE Communications Surveys & Tutorials, 25(3):1808–1840.
de Moura Filho, H. C., de Souza Matos Júnior, R., and de Ribamar Lima Ribeiro, A. (2022). Iot applications in universities: A systematic mapping. In Internet of Things – ICIOT 2021, pages 29–44. Springer International Publishing.
Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., and Wang, X. (2021). Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies. IEEE/CAA Journal of Automatica Sinica, 8(4):718–752.
Haghi Kashani, M., Madanipour, M., Nikravan, M., Asghari, P., and Mahdipour, E. (2021). A systematic review of iot in healthcare: Applications, techniques, and trends. Journal of Network and Computer Applications, 192:103164.
He, J., Zhang, Y., Huang, G., and Cao, J. (2012). A smart web service based on the context of things. ACM Transactions on Internet Technology (TOIT), 11(3):1–23.
Kassab, W. and Darabkh, K. (2020). A–z survey of internet of things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163:102663.
Ketu, S. and Mishra, P. (2022). A contemporary survey on iot based smart cities: Architecture, applications, and open issues. Wireless Personal Communications, 125:2319—-2367.
Kortuem, G., Kawsar, F., Sundramoorthy, V., and Fitton, D. (2009). Smart objects as building blocks for the internet of things. IEEE internet computing, 14(1):44–51.
Lohiya, R. and Thakkar, A. (2021). Application domains, evaluation data sets, and research challenges of iot: A systematic review. IEEE Internet of Things Journal, 8(11):8774–8798.
Neto, E. C. P., Dadkhah, S., Ferreira, R., Zohourian, A., Lu, R., and Ghorbani, A. A. (2023). Ciciot2023: A real-time dataset and benchmark for large-scale attacks in iot environment. Sensors, 23(13):5941.
Perera, C., Zaslavsky, A., Christen, P., and Georgakopoulos, D. (2013). Context aware computing for the internet of things: A survey. IEEE communications surveys & tutorials, 16(1):414–454.
Perwej, Y., Haq, K., Parwej, F., Mumdouh, M., and Hassan, M. (2019). The internet of things (iot) and its application domains. International Journal of Computer Applications, 975(8887):182.
Souki, O., Djemaa, R. B., Amous, I., and Sèdes, F. (2022). A survey of middlewares for self-adaptation and context-aware in cloud of things environment. Procedia Computer Science, 207:2804–2813.
Williams, V., Terence J., S., and Immaculate, J. (2019). Survey on internet of things based smart home. In 2019 International Conference on Intelligent Sustainable Systems (ICISS), pages 460–464. IEEE.
Wood, D., Lanthaler, M., and Cyganiak, R. (2014). Rdf 1.1 concepts and abstract syntax. W3C Recommendation, W3C.
Xu, L. D., He, W., and Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4):2233–2243.
Xue, L., Liu, Y., Zeng, P., Yu, H., and Shi, Z. (2015). An ontology based scheme for sensor description in context awareness system. In 2015 IEEE international conference on information and automation, pages 817–820. IEEE.
Publicado
20/07/2025
Como Citar
SANTANA, Henrique de S.; BRADACHI, João Gabriel A.; ANDRADE, Maria Eduarda O. G.; SILVA, Aléxia K. A. G.; SILVA, Thais R. M. B.; SILVA, Fabrício A.; AYLON, Linnyer B. R..
OD4CoT: um dataset baseado em ontologia para o Contexto das Coisas. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 17. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 141-150.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2025.9216.
