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Towards a Taxonomy and Software Architecture for Data Processing and Contextualization for the Internet of Things

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Service-Oriented Computing – ICSOC 2023 Workshops (ICSOC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14518))

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Abstract

Nowadays, the Internet of Things (IoT) and intelligent decision-making systems are growing exponentially, rising new needs to be addressed. Although we can currently find a large number of IoT applications that can process huge amounts of data in real time, it is difficult to find solutions that integrate data from different application domains for further contextualization and personalization of the offered services. To address this gap, we propose a taxonomy and a context-aware software architecture. The taxonomy will allow the description of data from different domains according to current needs and their use for further contextualization of smart applications. Through the software architecture it will be possible to easily integrate and correlate, thanks to the use of taxonomy, data from different application domains, processing large amounts of data in real time, and enabling the development of smarter decision making systems.

G. Ortiz and A. Garcia-de-Prado—This authors are Supervised.

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References

  1. Streitz, N.: Beyond smart-only cities: redefining the ‘smart-everything’ paradigm. J. Ambient. Intell. Humaniz. Comput. 10(2), 791–812 (2018). https://doi.org/10.1007/s12652-018-0824-1

    Article  Google Scholar 

  2. Behmann, F., Wu, K.: Collaborative Internet of Things (C-IoT): For Future Smart Connected Life and Business. John Wiley and Sons Inc., Hoboken (2015)

    Book  Google Scholar 

  3. Garcia-de-Prado, A., Ortiz, G., Boubeta-Puig, J.: COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things. Expert Syst. Appl. 85, 231–248 (2017). https://doi.org/10.1016/j.eswa.2017.05.034

    Article  Google Scholar 

  4. Günther, W.C., Verbeek, E.: XES (2014). http://www.xes-standard.org/_media/xes/xesstandarddefinition-2.0.pdf,

  5. Open EU Datasets | Official Portal for EU Data | data.europa.eu. https://data.europa.eu/data/datasets?locale=en. Accessed 03 Aug 2023

  6. Chen, H., Finin, T., Joshi, A.: An ontology for context-aware pervasive computing environments. Knowl. Eng. Rev. 18 (2003). https://doi.org/10.1017/S0269888904000025

  7. Chen, H., Perich, F., Finin, T., Joshi, A.: SOUPA: standard ontology for ubiquitous and pervasive applications. Presented at the September 22 (2004). https://doi.org/10.1109/MOBIQ.2004.1331732

  8. Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An Ontology-based Context Model in Intelligent Environments (2020). https://doi.org/10.48550/arXiv.2003.05055, http://arxiv.org/abs/2003.05055

  9. Hemmati, A., Rahmani, A.M.: The internet of autonomous things applications: a taxonomy, technologies, and future directions. Internet Things 20, 100635 (2022). https://doi.org/10.1016/j.iot.2022.100635

    Article  Google Scholar 

  10. Mountrouidou, X., Billings, B., Mejia-Ricart, L.: Not just another Internet of Things taxonomy: a method for validation of taxonomies. Internet Things. 6, 100049 (2019). https://doi.org/10.1016/j.iot.2019.03.003

    Article  Google Scholar 

  11. Iftikhar, S., et al.: AI-based fog and edge computing: a systematic review, taxonomy and future directions. Internet Things 21, 100674 (2023). https://doi.org/10.1016/j.iot.2022.100674

    Article  Google Scholar 

  12. Islam, M.S.U., Kumar, A., Hu, Y.-C.: Context-aware scheduling in fog computing: a survey, taxonomy, challenges and future directions. J. Netw. Comput. Appl. 180, 103008 (2021). https://doi.org/10.1016/j.jnca.2021.103008

    Article  Google Scholar 

  13. Bazan-Muñoz, A.: Towards a context-aware framework for internet of things and smart everything. In: Troya, J., et al. (eds.) Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. LNCS, vol. 13821, pp. 308–313. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-26507-5_25

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Acknowledgments

This work was supported by AwESOMe Project PID2021-122215NB-C33 funded by MCIN/AEI /10.13039/501100011033/ and by ERDF A way to do Europe.

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Authors and Affiliations

  1. Department of Computer Science, University of Cádiz, Puerto Real, Spain

    Adrian Bazan-Muñoz & Guadalupe Ortiz

  2. Department of Computer Architecture and Technology, University of Cádiz, Puerto Real, Spain

    Alfonso Garcia-de-Prado

Authors
  1. Adrian Bazan-Muñoz
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  2. Guadalupe Ortiz
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  3. Alfonso Garcia-de-Prado
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Corresponding author

Correspondence to Adrian Bazan-Muñoz .

Editor information

Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Flavia Monti

  2. Politecnico di Milano, Milan, Italy

    Pierluigi Plebani

  3. École de Technologie Supérieure, Montréal, QC, Canada

    Naouel Moha

  4. University of New South Wales, Sydney, NSW, Australia

    Hye-young Paik

  5. University of Stuttgart, Stuttgart, Germany

    Johanna Barzen

  6. Queensland University of Technology, Brisbane, QLD, Australia

    Gowri Ramachandran

  7. University of Brescia, Brescia, Italy

    Devis Bianchini

  8. TU/e – JADS, Politecnico di Milano, Milan, Italy

    Damian A. Tamburri

  9. Sapienza University of Rome, Rome, Italy

    Massimo Mecella

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Bazan-Muñoz, A., Ortiz, G., Garcia-de-Prado, A. (2024). Towards a Taxonomy and Software Architecture for Data Processing and Contextualization for the Internet of Things. In: Monti, F., et al. Service-Oriented Computing – ICSOC 2023 Workshops. ICSOC 2023. Lecture Notes in Computer Science, vol 14518. Springer, Singapore. https://doi.org/10.1007/978-981-97-0989-2_22

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  • DOI: https://doi.org/10.1007/978-981-97-0989-2_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0988-5

  • Online ISBN: 978-981-97-0989-2

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