Changes in the semantic profile to evaluate the quality and safety of life
Keywords:
Semantic profile, quality of life, safety parameters, differential indicators, sociocultural impact.
Abstract
The purpose of the article is to highlight the specifics of changing the parameters of the semantic profile in determining the indicators of quality and safety of life. Modern civilizational development is characterized by dynamism and flexibility, which directly affects human and social life and requires new algorithms for determining the level of quality and security in both the existential and institutional, as well as in the value and functional dimensions. The purpose of the research is to determine the relationship between socio-cultural factors that have dynamic characteristics with constant constants of the semantic differential. The research methodology focuses on the use of general scientific (primarily analytical) methods and philosophical and methodological synergistic principles. The results of the study indicate that there are three formats of this interaction: changing profile parameters under the influence of socio-cultural activity; preservation of profile constants regardless of socio-cultural realities; synergistic mutual transformation of indicators of socio-cultural life and the semantic profile of its assessment. The scientific novelty of the work is focused on the introduction of a dynamic dimension to the impact assessment and measurement of the parameters of quality and safety of life using a semantic profile. Thus, the problem of quality and safety of life in both the theoretical and ideological and practice-oriented dimensions receives new mechanisms and tools for assessing and measuring the level of viability in modern civilisational progress. The semantic profile is no longer a stable format for assessing the quality and safety of life, but a dynamic method that is able to operate with variable data, transforming its own parameters.
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References
Adamczyk, B. S., Szejka, A. L., & Júnior, O. C. (2020). Knowledge-based expert system to support the semantic interoperability in smart manufacturing. Computers in Industry, 115, 103161. https://doi.org/10.1016/j.compind.2019.103161
Akroyd, J., Mosbach, S., Bhave, A., & Kraft, M. (2021). Universal digital twin - a dynamic knowledge graph. Data-Centric Engineering, 2, e14. https://doi.org/10.1017/dce.2021.10
Arslan, M., Cruz, C., & Ginhac, D. (2019). Semantic trajectory insights for worker safety in dynamic environments. Automation in Construction, 106, 102854. https://doi.org/10.1016/j.autcon.2019.102854
Bader, S., Pullmann, J., Mader, C., Tramp, S., Quix, C., Müller, W., Akyürek H., Böckmann, M., Imbusch, T., Lipp, J., Geisler, S., & Lange, C. (2020). The international data spaces information model – An ontology for sovereign exchange of digital content. In J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres ... L. Kagal (Eds.), The semantic web – ISWC 2020. ISWC 2020. Lecture notes in computer science, Volume 12507 (pp. 176-192). Cham: Springer. https://doi.org/10.1007/978-3-030-62466-8_12
Bannikova, K. (2022). Ukrainian refugees and the European labor market: Socio-cultural markers of interaction. Amazonia Investiga, 11(56), 9-17. https://doi.org/10.34069/AI/2022.56.08.1
Benabdellah, A. C., Zekhnini, K., Cherrafi, A., Garza‐Reyes, J. A., & Kumar, A. (2021). Design for the environment: An ontology‐based knowledge management model for green product development. Business Strategy and the Environment, 30(8), 4037-4053. https://doi.org/10.1002/bse.2855
Boje, C., Guerriero, A., Kubicki, S., & Rezgui, Y. (2020). Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction, 114, 103179. https://doi.org/10.1016/j.autcon.2020.103179
Buriak, I., Nechyporenko, K., Chychun, V., Polianko, H., & Milman, L. (2022). Trends in the development of management and business technology in the formation of the modern Ukrainian economy. Futurity Economics & Law, 2(4), 29-35. https://doi.org/10.57125/FEL.2022.12.25.04
Defila, R., & Di Giulio, A. (2020). The concept of “consumption corridors” meets society: How an idea for fundamental changes in consumption is received. Journal of Consumer Policy, 43, 315-344. https://doi.org/10.1007/s10603-019-09437-w
Fang, W., Love, P. E., Ding, L., Xu, S., Kong, T., & Li, H. (2021). Computer vision and deep learning to manage safety in construction: Matching images of unsafe behavior and semantic rules. IEEE Transactions on Engineering Management, 70(12), 4120-4132. https://doi.org/10.1109/TEM.2021.3093166
Gevorgyan, S., & Baghdasaryan, K. (2021). Toward a transhumanist transformation of human labor potential in the context of global challenges. Futurity Economics & Law, 1(4), 36-45. https://doi.org/10.57125/FEL.2021.12.25.05
Ghazal, R., Malik, A. K., Qadeer, N., Raza, B., Shahid, A. R., & Alquhayz, H. (2020). Intelligent role-based access control model and framework using semantic business roles in multi-domain environments. IEEE Access, 8, 12253-12267. https://doi.org/10.1109/ACCESS.2020.2965333
González-Díaz, R. R., Acevedo-Duque, Á., Salazar-Sepúlveda, G., & Castillo, D. (2021). Contributions of subjective well-being and good living to the contemporary development of the notion of sustainable human development. Sustainability, 13(6), 3298. https://doi.org/10.3390/su13063298
Harrison, J. E., Weber, S., Jakob, R., & Chute, C. G. (2021). ICD-11: An international classification of diseases for the twenty-first century. BMC Medical Informatics and Decision Making, 21(6), 1-10. https://doi.org/10.1186/s12911-021-01534-6
Haslam, N., Dakin, B. C., Fabiano, F., McGrath, M. J., Rhee, J., Vylomova, E., ... & Wheeler, M. A. (2020). Harm inflation: Making sense of concept creep. European Review of Social Psychology, 31(1), 254-286. https://doi.org/10.1080/10463283.2020.1796080
Huckvale, K., Venkatesh, S., & Christensen, H. (2019). Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. NPJ Digital Medicine, 2(1), 1-11. https://doi.org/10.1038/s41746-019-0166-1
Jebb, A. T., Ng, V., & Tay, L. (2021). A review of key Likert scale development advances: 1995–2019. Frontier Psychology, 12, Article 637547. https://doi.org/10.3389/fpsyg.2021.637547
Jiang, P., Wen, C. K., Jin, S., & Li, G. Y. (2023). Wireless semantic transmission via revising modules in conventional communications. IEEE Wireless Communications, 30(3), 28-34. https://doi.org/10.1109/MWC.009.2200515
Jiang, S., Wu, Z., Zhang, B., & Cha, H. S. (2019). Combined MvdXML and semantic technologies for green construction code checking. Applied Sciences, 9(7), 1463. https://doi.org/10.3390/app9071463
Karana, E., Barati, B., & Giaccardi, E. (2020). Living artefacts: Conceptualizing livingness as a material quality in everyday artefacts. International Journal of Design, 14(3), 37-53. https://pure.tudelft.nl/ws/files/86835985/3957_13038_4_PB.pdf
Lee, K., & Jung, H. (2019). Dynamic semantic network analysis for identifying the concept and scope of social sustainability. Journal of Cleaner Production, 233, 1510-1524. https://doi.org/10.1016/j.jclepro.2019.05.390
Levchenko, Y., Tsizhma, Y., Slobodyan, N., & Nehoda, O. (2022). Organization and planning of the enterprises of the future: Legal status. Futurity Economics & Law, 2(4), 22-29. https://doi.org/10.57125/FEL.2022.12.25.03
Min, M., Wang, W., Xiao, L., Xiao, Y., & Han, Z. (2021). Reinforcement learning-based sensitive semantic location privacy protection for VANETs. China Communications, 18(6), 244-260. https://doi.org/10.23919/JCC.2021.06.019
Mishra, K. N., & Chakraborty, C. (2020). A novel approach toward enhancing the quality of life in smart cities using clouds and IoT-based technologies. In M. Farsi, A. Daneshkhah, A. Hosseinian-Far, & H. Jahankhani (Eds.), Digital twin technologies and smart cities. Internet of things (pp. 19-35). Cham: Springer. https://doi.org/10.1007/978-3-030-18732-3_2
Philip, N. Y., Rodrigues, J. J., Wang, H., Fong, S. J., & Chen, J. (2021). Internet of Things for in-home health monitoring systems: Current advances, challenges and future directions. IEEE Journal on Selected Areas in Communications, 39(2), 300-310. https://doi.org/10.1109/JSAC.2020.3042421
Pomytkina, L., Gudmanian, A., Kovtun, O., & Yahodzinskyi, S. (2020). Personal choice: strategic life decision-making and conscience. E3S Web of Conferences, 164, Article 10021. https://doi.org/10.1051/e3sconf/202016410021
Poschmann, H., Brüggemann, H., & Goldmann, D. (2021). Fostering end-of-life utilization by information-driven robotic disassembly. Procedia CIRP, 98, 282-287. https://doi.org/10.1016/j.procir.2021.01.104
Poudel, A. N., Zhu, S., Cooper, N., Roderick, P., Alwan, N., & Tarrant, C. (2021). Impact of Covid-19 on health-related quality of life of patients: A structured review. PLoS ONE, 16(10), Article e0259164. https://doi.org/10.1371/journal.pone.0259164
Rhayem, A., Mhiri, M. B. A., & Gargouri, F. (2020). Semantic web technologies for the internet of things: Systematic literature review. Internet of Things, 11, 100206. https://doi.org/10.1016/j.iot.2020.100206
Rhayem, A., Mhiri, M. B. A., Drira, K., Tazi, S., & Gargouri, F. (2021). A semantic‐enabled and context‐aware monitoring system for the internet of medical things. Expert Systems, 38(2), e12629. https://doi.org/10.1111/exsy.12629
Sirichanya, C., & Kraisak, K. (2021). Semantic data mining in the information age: A systematic review. International Journal of Intelligent Systems, 36(8), 3880-3916. https://doi.org/10.1002/int.22443
Umbrico, A., Cesta, A., Cortellessa, G., & Orlandini, A. (2020). A holistic approach to behavior adaptation for socially assistive robots. International Journal of Social Robotics, 12(3), 617-637. https://doi.org/10.1007/s12369-019-00617-9
Vukmirovic, M., Gavrilovic, S., & Stojanovic, D. (2019). The improvement of the comfort of public spaces as a local initiative in coping with climate change. Sustainability, 11(23), 6546. https://doi.org/10.3390/su11236546
Wu, H., Zhong, B., Li, H., Love, P., Pan, X., & Zhao, N. (2021). Combining computer vision with semantic reasoning for on-site safety management in construction. Journal of Building Engineering, 42, 103036. https://doi.org/10.1016/j.jobe.2021.103036
Yap, W., Chang, J. H., & Biljecki, F. (2023). Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions. Environment and Planning B: Urban Analytics and City Science, 50(6), 1416-1437. https://doi.org/10.1177/23998083221138832
Zheng, Z., Zhong, Y., Wang, J., Ma, A., & Zhang, L. (2021). Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters. Remote Sensing of Environment, 265, 112636. https://doi.org/10.1016/j.rse.2021.112636
Zhong, B., Li, H., Luo, H., Zhou, J., Fang, W., & Xing, X. (2020). Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images. Journal of Construction Engineering and Management, 146(4), 04020013. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001767
Akroyd, J., Mosbach, S., Bhave, A., & Kraft, M. (2021). Universal digital twin - a dynamic knowledge graph. Data-Centric Engineering, 2, e14. https://doi.org/10.1017/dce.2021.10
Arslan, M., Cruz, C., & Ginhac, D. (2019). Semantic trajectory insights for worker safety in dynamic environments. Automation in Construction, 106, 102854. https://doi.org/10.1016/j.autcon.2019.102854
Bader, S., Pullmann, J., Mader, C., Tramp, S., Quix, C., Müller, W., Akyürek H., Böckmann, M., Imbusch, T., Lipp, J., Geisler, S., & Lange, C. (2020). The international data spaces information model – An ontology for sovereign exchange of digital content. In J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres ... L. Kagal (Eds.), The semantic web – ISWC 2020. ISWC 2020. Lecture notes in computer science, Volume 12507 (pp. 176-192). Cham: Springer. https://doi.org/10.1007/978-3-030-62466-8_12
Bannikova, K. (2022). Ukrainian refugees and the European labor market: Socio-cultural markers of interaction. Amazonia Investiga, 11(56), 9-17. https://doi.org/10.34069/AI/2022.56.08.1
Benabdellah, A. C., Zekhnini, K., Cherrafi, A., Garza‐Reyes, J. A., & Kumar, A. (2021). Design for the environment: An ontology‐based knowledge management model for green product development. Business Strategy and the Environment, 30(8), 4037-4053. https://doi.org/10.1002/bse.2855
Boje, C., Guerriero, A., Kubicki, S., & Rezgui, Y. (2020). Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction, 114, 103179. https://doi.org/10.1016/j.autcon.2020.103179
Buriak, I., Nechyporenko, K., Chychun, V., Polianko, H., & Milman, L. (2022). Trends in the development of management and business technology in the formation of the modern Ukrainian economy. Futurity Economics & Law, 2(4), 29-35. https://doi.org/10.57125/FEL.2022.12.25.04
Defila, R., & Di Giulio, A. (2020). The concept of “consumption corridors” meets society: How an idea for fundamental changes in consumption is received. Journal of Consumer Policy, 43, 315-344. https://doi.org/10.1007/s10603-019-09437-w
Fang, W., Love, P. E., Ding, L., Xu, S., Kong, T., & Li, H. (2021). Computer vision and deep learning to manage safety in construction: Matching images of unsafe behavior and semantic rules. IEEE Transactions on Engineering Management, 70(12), 4120-4132. https://doi.org/10.1109/TEM.2021.3093166
Gevorgyan, S., & Baghdasaryan, K. (2021). Toward a transhumanist transformation of human labor potential in the context of global challenges. Futurity Economics & Law, 1(4), 36-45. https://doi.org/10.57125/FEL.2021.12.25.05
Ghazal, R., Malik, A. K., Qadeer, N., Raza, B., Shahid, A. R., & Alquhayz, H. (2020). Intelligent role-based access control model and framework using semantic business roles in multi-domain environments. IEEE Access, 8, 12253-12267. https://doi.org/10.1109/ACCESS.2020.2965333
González-Díaz, R. R., Acevedo-Duque, Á., Salazar-Sepúlveda, G., & Castillo, D. (2021). Contributions of subjective well-being and good living to the contemporary development of the notion of sustainable human development. Sustainability, 13(6), 3298. https://doi.org/10.3390/su13063298
Harrison, J. E., Weber, S., Jakob, R., & Chute, C. G. (2021). ICD-11: An international classification of diseases for the twenty-first century. BMC Medical Informatics and Decision Making, 21(6), 1-10. https://doi.org/10.1186/s12911-021-01534-6
Haslam, N., Dakin, B. C., Fabiano, F., McGrath, M. J., Rhee, J., Vylomova, E., ... & Wheeler, M. A. (2020). Harm inflation: Making sense of concept creep. European Review of Social Psychology, 31(1), 254-286. https://doi.org/10.1080/10463283.2020.1796080
Huckvale, K., Venkatesh, S., & Christensen, H. (2019). Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. NPJ Digital Medicine, 2(1), 1-11. https://doi.org/10.1038/s41746-019-0166-1
Jebb, A. T., Ng, V., & Tay, L. (2021). A review of key Likert scale development advances: 1995–2019. Frontier Psychology, 12, Article 637547. https://doi.org/10.3389/fpsyg.2021.637547
Jiang, P., Wen, C. K., Jin, S., & Li, G. Y. (2023). Wireless semantic transmission via revising modules in conventional communications. IEEE Wireless Communications, 30(3), 28-34. https://doi.org/10.1109/MWC.009.2200515
Jiang, S., Wu, Z., Zhang, B., & Cha, H. S. (2019). Combined MvdXML and semantic technologies for green construction code checking. Applied Sciences, 9(7), 1463. https://doi.org/10.3390/app9071463
Karana, E., Barati, B., & Giaccardi, E. (2020). Living artefacts: Conceptualizing livingness as a material quality in everyday artefacts. International Journal of Design, 14(3), 37-53. https://pure.tudelft.nl/ws/files/86835985/3957_13038_4_PB.pdf
Lee, K., & Jung, H. (2019). Dynamic semantic network analysis for identifying the concept and scope of social sustainability. Journal of Cleaner Production, 233, 1510-1524. https://doi.org/10.1016/j.jclepro.2019.05.390
Levchenko, Y., Tsizhma, Y., Slobodyan, N., & Nehoda, O. (2022). Organization and planning of the enterprises of the future: Legal status. Futurity Economics & Law, 2(4), 22-29. https://doi.org/10.57125/FEL.2022.12.25.03
Min, M., Wang, W., Xiao, L., Xiao, Y., & Han, Z. (2021). Reinforcement learning-based sensitive semantic location privacy protection for VANETs. China Communications, 18(6), 244-260. https://doi.org/10.23919/JCC.2021.06.019
Mishra, K. N., & Chakraborty, C. (2020). A novel approach toward enhancing the quality of life in smart cities using clouds and IoT-based technologies. In M. Farsi, A. Daneshkhah, A. Hosseinian-Far, & H. Jahankhani (Eds.), Digital twin technologies and smart cities. Internet of things (pp. 19-35). Cham: Springer. https://doi.org/10.1007/978-3-030-18732-3_2
Philip, N. Y., Rodrigues, J. J., Wang, H., Fong, S. J., & Chen, J. (2021). Internet of Things for in-home health monitoring systems: Current advances, challenges and future directions. IEEE Journal on Selected Areas in Communications, 39(2), 300-310. https://doi.org/10.1109/JSAC.2020.3042421
Pomytkina, L., Gudmanian, A., Kovtun, O., & Yahodzinskyi, S. (2020). Personal choice: strategic life decision-making and conscience. E3S Web of Conferences, 164, Article 10021. https://doi.org/10.1051/e3sconf/202016410021
Poschmann, H., Brüggemann, H., & Goldmann, D. (2021). Fostering end-of-life utilization by information-driven robotic disassembly. Procedia CIRP, 98, 282-287. https://doi.org/10.1016/j.procir.2021.01.104
Poudel, A. N., Zhu, S., Cooper, N., Roderick, P., Alwan, N., & Tarrant, C. (2021). Impact of Covid-19 on health-related quality of life of patients: A structured review. PLoS ONE, 16(10), Article e0259164. https://doi.org/10.1371/journal.pone.0259164
Rhayem, A., Mhiri, M. B. A., & Gargouri, F. (2020). Semantic web technologies for the internet of things: Systematic literature review. Internet of Things, 11, 100206. https://doi.org/10.1016/j.iot.2020.100206
Rhayem, A., Mhiri, M. B. A., Drira, K., Tazi, S., & Gargouri, F. (2021). A semantic‐enabled and context‐aware monitoring system for the internet of medical things. Expert Systems, 38(2), e12629. https://doi.org/10.1111/exsy.12629
Sirichanya, C., & Kraisak, K. (2021). Semantic data mining in the information age: A systematic review. International Journal of Intelligent Systems, 36(8), 3880-3916. https://doi.org/10.1002/int.22443
Umbrico, A., Cesta, A., Cortellessa, G., & Orlandini, A. (2020). A holistic approach to behavior adaptation for socially assistive robots. International Journal of Social Robotics, 12(3), 617-637. https://doi.org/10.1007/s12369-019-00617-9
Vukmirovic, M., Gavrilovic, S., & Stojanovic, D. (2019). The improvement of the comfort of public spaces as a local initiative in coping with climate change. Sustainability, 11(23), 6546. https://doi.org/10.3390/su11236546
Wu, H., Zhong, B., Li, H., Love, P., Pan, X., & Zhao, N. (2021). Combining computer vision with semantic reasoning for on-site safety management in construction. Journal of Building Engineering, 42, 103036. https://doi.org/10.1016/j.jobe.2021.103036
Yap, W., Chang, J. H., & Biljecki, F. (2023). Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions. Environment and Planning B: Urban Analytics and City Science, 50(6), 1416-1437. https://doi.org/10.1177/23998083221138832
Zheng, Z., Zhong, Y., Wang, J., Ma, A., & Zhang, L. (2021). Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters. Remote Sensing of Environment, 265, 112636. https://doi.org/10.1016/j.rse.2021.112636
Zhong, B., Li, H., Luo, H., Zhou, J., Fang, W., & Xing, X. (2020). Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images. Journal of Construction Engineering and Management, 146(4), 04020013. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001767
Published
2023-11-30
How to Cite
Ridei, N., Tytova, N., Sydorenko, T., Tsymbal, S., & Liashenko, M. (2023). Changes in the semantic profile to evaluate the quality and safety of life. Amazonia Investiga, 12(71), 242-251. https://doi.org/10.34069/AI/2023.71.11.21
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