Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Restful Web Services Composition Using Semantic Ontology for Elderly Living Assistance Services

  • Received : 2017.07.17
  • Accepted : 2017.10.23
  • Published : 2018.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Recent advances in medical science have made people live longer, which has affected many aspects of life, such as caregiver burden, increasing cost of healthcare, increasing number of disabled and depressive disorder persons, and so on. Researchers are now focused on elderly living assistance services in smart home environments. In recent years, assisted living technologies have rapidly grown due to a faster growing aging society. Many smart devices are now interconnected within the home network environment and such a home setup supports collaborations between those devices based on the Internet of Things (IoT). One of the major challenges in providing elderly living assistance services is to consider each individual's requirements of different needs. In order to solve this, the virtualization of physical things, as well as the collaboration and composition of services provided by these physical things should be considered. In order to meet these challenges, Web of Objects (WoO) focuses on the implementation aspects of IoT to bring the assorted real world objects with the web applications. We proposed a semantic modelling technique for manual and semi-automated service composition. The aim of this work is to propose a framework to enable RESTful web services composition using semantic ontology for elderly living assistance services creation in WoO based smart home environment.

Keywords

References

  1. P. Rashidi and A. Mihailidis, "A survey on ambient-assisted living tools for older adults," IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 3, pp. 579-590, 2013. https://doi.org/10.1109/JBHI.2012.2234129
  2. J. Andreu-Perez, C. C. Poon, R. D. Merrifield, S. T. Wong, and G. Z. Yang, "Big data for health," IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 4, pp. 1193-1208, 2015. https://doi.org/10.1109/JBHI.2015.2450362
  3. M. Memon, S. R. Wagner, C. F. Pedersen, F. H. A. Beevi, and F. O. Hansen, "Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes," Sensors, vol. 14, no. 3, pp. 4312-4341, 2014. https://doi.org/10.3390/s140304312
  4. U. Esnaola and T. Smithers, "Whistling to machines," in Ambient Intelligence in Everyday Life. Heidelberg: Springer, 2006, pp. 198-226.
  5. D. J. Cook, J. C. Augusto, and V. R. Jakkula, "Ambient intelligence: technologies, applications, and opportunities," Pervasive and Mobile Computing, vol. 5, no. 4, pp. 277-298, 2009. https://doi.org/10.1016/j.pmcj.2009.04.001
  6. D. J. Cook and S. K. Das, "Pervasive computing at scale: transforming the state of the art," Pervasive and Mobile Computing, vol. 8, no. 1, pp. 22-35, 2012. https://doi.org/10.1016/j.pmcj.2011.10.004
  7. B. S. Wiese, "Geriatric depression: the use of antidepressants in the elderly," British Columbia Medical Journal, vol. 53, no. 7, pp. 341-347, 2011.
  8. A. M. Koenig and M. A. Butters, "Cognition in late-life depression: treatment considerations," Current Treatment Options in Psychiatry, vol. 1, no. 1, pp. 1-14, 2014. https://doi.org/10.1007/s40501-013-0001-2
  9. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of Things (IoT): a vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013. https://doi.org/10.1016/j.future.2013.01.010
  10. G. Kortuem, F. Kawsar, V. Sundramoorthy, and D. Fitton, "Smart objects as building blocks for the Internet of Things," IEEE Internet Computing, vol. 14, no. 1, pp. 44-51, 2010. https://doi.org/10.1109/MIC.2009.143
  11. L. Da Xu, W. He, and S. Li, "Internet of Things in industries: a survey," IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233-2243, 2014. https://doi.org/10.1109/TII.2014.2300753
  12. L. Atzori, A. Iera, G. Morabito, and M. Nitti, "The social Internet of Things (sIoT)-when social networks meet the Internet of Things: concept, architecture and network characterization," Computer Networks, vol. 56, no. 16, pp. 3594-3608, 2012. https://doi.org/10.1016/j.comnet.2012.07.010
  13. A. Botta, W. De Donato, V. Persico, and A. Pescape, "Integration of cloud computing and Internet of Things: a survey," Future Generation Computer Systems, vol. 56, pp. 684-700, 2016. https://doi.org/10.1016/j.future.2015.09.021
  14. J. Jin, J. Gubbi, S. Marusic, and M. Palaniswami, "An information framework for creating a smart city through Internet of Things," IEEE Internet of Things journal, vol. 1, no. 2, pp. 112-121, 2014. https://doi.org/10.1109/JIOT.2013.2296516
  15. M. G. Kibria, S. M. M. Fattah, K. Jeong, I. Chong, and Y. K. Jeong, "A user-centric knowledge creation model in a web of object-enabled Internet of Things environment," Sensors, vol. 15, no. 9, pp. 24054-24086, 2015. https://doi.org/10.3390/s150924054
  16. Z. U. Shamszaman, S. S. Ara, I. Chong, and Y. K. Jeong, "Web-of-Objects (WoO)-based context aware emergency fire management systems for the Internet of Things," Sensors, vol. 14, no. 2, pp. 2944-2966, 2014. https://doi.org/10.3390/s140202944
  17. S. M. M. Fattah, M. G. Kibria, K. Jeong, and I. Chong, "Knowledge driven architectural model to support smart emergency service in web of objects based IoT environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 2, pp. 408-418, 2015. https://doi.org/10.7840/kics.2015.40.2.408
  18. ITEA3 Projects, "Web of Objects: D2.1 State-of-the-Art," [Online]. Available: https://itea3.org/project/webof-objects.html.
  19. M. G. Kibria, K. Jeong, S. M. Fattah, and I. Chong, "Smart emergency service in WoO based shopping mall," in Proceedings of 2014 International Conference on Information and Communication Technology Convergence (ICTC), Busan, Korea, 2014, pp. 1001-1002.
  20. ITEA3 Projects, "Web of Objects: D3.3 WoO Reference Architecture," [Online]. Available: https://itea3.org/project/web-of-objects.html.
  21. D. Guinard, V. Trifa, T. Pham, and O. Liechti, "Towards physical mashups in the web of things," in Proceedings of 2009 6th International Conference on Networked Sensing Systems (INSS), Pittsburgh, PA, 2009, pp. 1-4.
  22. The Internet-of-Things Architecture (IoT-A) Project [Online]. Available: http://open-platforms.eu/standard_protocol/iot-a-architectural-reference-model/.
  23. ITEA3 Projects, "DiY Smart Experiences: DIYSE D3.1 Service Oncology," [Online]. Available: https://itea3.org/project/diy-smart-experiences.html.
  24. BUTLER Project [Online]. Available: http://open-platforms.eu/standard_protocol/iot-a-architecturalreference-model/.
  25. iCORE Project [Online]. Available: http://www.iot-icore.eu/about-icore.
  26. W. Tushar, C. Yuen, K. Li, K. L. Wood, Z. Wei, and L. Xiang, "Design of cloud-connected IoT system for smart buildings on energy management," EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 3, no. 6, pp. 1-9, 2016.
  27. S. K. Viswanath, C. Yuen, W. Tushar, W. T. Li, C. K. Wen, K. Hu, and X. Liu, "System design of the Internet of Things for residential smart grid," IEEE Wireless Communications, vol. 23, no. 5, pp. 90-98, 2016. https://doi.org/10.1109/MWC.2016.7721747
  28. T. Bylander, "The computational complexity of propositional STRIPS planning," Artificial Intelligence, vol. 69, no. 1-2, pp. 165-204, 1994. https://doi.org/10.1016/0004-3702(94)90081-7
  29. M. C. Koval, N. S. Pollard, and S. S. Srinivasa, "Pre-and post-contact policy decomposition for planar contact manipulation under uncertainty," The International Journal of Robotics Research, vol. 35, no. 1-3, pp. 244-264, 2016. https://doi.org/10.1177/0278364915594474
  30. R. B. Lamine, R. B. Jemaa, and I. A. B. Amor, "Graph planning based composition for adaptable semantic web services," Procedia Computer Science, vol. 112, pp. 358-368, 2017. https://doi.org/10.1016/j.procs.2017.08.016
  31. A. L. Blum and M. L. Furst, "Fast planning through planning graph analysis," Artificial Intelligence, vol. 90, no. 1-2, pp. 281-300, 1997. https://doi.org/10.1016/S0004-3702(96)00047-1