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Towards Enhancement EUPont Ontology for Smart Home

Received: 3 December 2023     Accepted: 22 December 2023     Published: 5 February 2024
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Abstract

Smart homes are characterized by the integration of technology and services using home networking, with the goal of improving the overall quality of life. When designing these intricate systems, it is important to consider the experiences and needs of the occupants. Smart homes consist of various devices that offer comfort, security, convenience, energy efficiency, and promote intelligent living. These devices communicate and interact with each other, forming a connected ecosystem. In order to ensure prompt assistance during emergencies such as fires, medical emergencies, or distress calls, interactivity and technology within smart homes should enable emergency service providers to quickly respond. To achieve this, a modeling language that supports the semantic aspect is employed, allowing for modeling that closely aligns with end user requirements. This language typically utilizes the concept of ontology. However, the use of ontologies in smart home design is still limited in current research. As a result, this paper aims to enhance the EUPont ontology by integrating Arduino devices and implementing an algorithm that simplifies the analysis of detected alarm signals and user decision-making. The execution of this algorithm relies on the definition of several SWRL rules (Semantic Web Rule Language).

Published in International Journal of Science, Technology and Society (Volume 12, Issue 1)
DOI 10.11648/ijsts.20241201.16
Page(s) 63-68
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Smart Home, Semantic Web, Internet of Things, EUPont

References
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[3] Xia, L., D. T. Semirumi, and R. Rezaei. "A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy." Sustainable Cities and Society 98(2023): 104771.
[4] Noor, Zainab, et al. "An Intelligent Context-Aware Threat Detection and Response Model for Smart Cyber-Physical Systems." Internet of Things (2023): 100843.
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[7] H. M. Saber and N. K. Al-Salihi, "IoT: Secured and automated house," in 2017 International Carnahan Conference on Security Technology, Madrid, 2017.
[8] Hashem, Ibrahim Abaker Targio, et al. "Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges." Sustainability 15.5(2023): 3916.
[9] Lyazidi, Achraf, and Salma Mouline. "ONDAR: an ontology for home automation." 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2015.
[10] Ganzha, Maria, et al. "From implicit semantics towards ontologies—practical considerations from the INTER-IoT perspective." 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2017.
[11] Gyrard, Amelie, et al. "Assisting iot projects and developers in designing interoperable semantic web of things applications." 2015 IEEE International Conference on Data Science and Data Intensive Systems. IEEE, 2015.
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[15] Hu, Haibo, et al. "Semantic Web-based policy interaction detection method with rules in smart home for detecting interactions among user policies." IET communications 5.17(2011): 2451-2460.
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  • APA Style

    Salem, A. H. (2024). Towards Enhancement EUPont Ontology for Smart Home. International Journal of Science, Technology and Society, 12(1), 63-68. https://doi.org/10.11648/ijsts.20241201.16

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    ACS Style

    Salem, A. H. Towards Enhancement EUPont Ontology for Smart Home. Int. J. Sci. Technol. Soc. 2024, 12(1), 63-68. doi: 10.11648/ijsts.20241201.16

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    AMA Style

    Salem AH. Towards Enhancement EUPont Ontology for Smart Home. Int J Sci Technol Soc. 2024;12(1):63-68. doi: 10.11648/ijsts.20241201.16

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  • @article{10.11648/ijsts.20241201.16,
      author = {Asma'a Hassan Salem},
      title = {Towards Enhancement EUPont Ontology for Smart Home},
      journal = {International Journal of Science, Technology and Society},
      volume = {12},
      number = {1},
      pages = {63-68},
      doi = {10.11648/ijsts.20241201.16},
      url = {https://doi.org/10.11648/ijsts.20241201.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.ijsts.20241201.16},
      abstract = {Smart homes are characterized by the integration of technology and services using home networking, with the goal of improving the overall quality of life. When designing these intricate systems, it is important to consider the experiences and needs of the occupants. Smart homes consist of various devices that offer comfort, security, convenience, energy efficiency, and promote intelligent living. These devices communicate and interact with each other, forming a connected ecosystem. In order to ensure prompt assistance during emergencies such as fires, medical emergencies, or distress calls, interactivity and technology within smart homes should enable emergency service providers to quickly respond. To achieve this, a modeling language that supports the semantic aspect is employed, allowing for modeling that closely aligns with end user requirements. This language typically utilizes the concept of ontology. However, the use of ontologies in smart home design is still limited in current research. As a result, this paper aims to enhance the EUPont ontology by integrating Arduino devices and implementing an algorithm that simplifies the analysis of detected alarm signals and user decision-making. The execution of this algorithm relies on the definition of several SWRL rules (Semantic Web Rule Language).
    },
     year = {2024}
    }
    

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    AB  - Smart homes are characterized by the integration of technology and services using home networking, with the goal of improving the overall quality of life. When designing these intricate systems, it is important to consider the experiences and needs of the occupants. Smart homes consist of various devices that offer comfort, security, convenience, energy efficiency, and promote intelligent living. These devices communicate and interact with each other, forming a connected ecosystem. In order to ensure prompt assistance during emergencies such as fires, medical emergencies, or distress calls, interactivity and technology within smart homes should enable emergency service providers to quickly respond. To achieve this, a modeling language that supports the semantic aspect is employed, allowing for modeling that closely aligns with end user requirements. This language typically utilizes the concept of ontology. However, the use of ontologies in smart home design is still limited in current research. As a result, this paper aims to enhance the EUPont ontology by integrating Arduino devices and implementing an algorithm that simplifies the analysis of detected alarm signals and user decision-making. The execution of this algorithm relies on the definition of several SWRL rules (Semantic Web Rule Language).
    
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Author Information
  • Computer Science Department, Faculty of Computer Science and Technology, Sana’a University, Sana’a, Yemen

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