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 |
Smart Home, Semantic Web, Internet of Things, EUPont
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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
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
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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Download@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}
}
TY - JOUR T1 - Towards Enhancement EUPont Ontology for Smart Home AU - Asma'a Hassan Salem Y1 - 2024/02/05 PY - 2024 N1 - https://doi.org/10.11648/ijsts.20241201.16 DO - 10.11648/ijsts.20241201.16 T2 - International Journal of Science, Technology and Society JF - International Journal of Science, Technology and Society JO - International Journal of Science, Technology and Society SP - 63 EP - 68 PB - Science Publishing Group SN - 2330-7420 UR - https://doi.org/10.11648/ijsts.20241201.16 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). VL - 12 IS - 1 ER -
Computer Science Department, Faculty of Computer Science and Technology, Sana’a University, Sana’a, Yemen
