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Smart Emergency Alert System Using Internet of Things and Linked Open Data for Chronic Disease Patients

  • Hajar KhalloukiEmail author
  • Mohamed Bahaj
  • Philippe Roose
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 914)

Abstract

Nowadays, the widespread deployment of more powerful devices (sensors, smartphones, tablets, etc.) has provided us with great number sources of sensing data that are exploited in several domains namely the healthcare domain. Chronic diseases are the most common causes of death and disability worldwide. These types of diseases require more and more studies to help patients and notify cases of crises that lead to death. Representing knowledge through building an ontology for emergency alert system is important to achieve semantic interoperability among health information, predict the patient real-time context and to better execute decision notification. Linked Open Data services are used in our paper in order to provide with the semantic description of collected data from different sources (wearable sensors, environmental sensors, etc.).

Keywords

Devices Sensing data Chronic diseases Ontology Emergency alert Real-time context Linked Open Data 

References

  1. 1.
    Solanas, A., Patsakis, C., Conti, M., Vlachos, I.S., Ramos, V., Falcone, F., Martinez-Balleste, A.: Smart health: a context-aware health paradigm within smart cities. IEEE Commun. Mag. 52(8), 74–81 (2014)CrossRefGoogle Scholar
  2. 2.
    Liu, M., Ma, J., Lin, L., Ge, M., Wang, Q., Liu, C.: Intelligent assembly system for mechanical products and key technology based on internet of things. J. Intell. Manuf. 28(2), 271–299 (2017)CrossRefGoogle Scholar
  3. 3.
    Venkatesh, J., Aksanli, B., Chan, C.S., Akyurek, A.S., Rosing, T.S.: Modular and personalized smart health application design in a smart city environment. IEEE Internet Things J. 5, 614–623 (2017)CrossRefGoogle Scholar
  4. 4.
    Zamanifar, A., Nazemi, E., Vahidi-Asl, M.: DSHMP-IOT: a distributed self healing movement prediction scheme for internet of things applications. Appl. Intell. 46(3), 569–589 (2017)CrossRefGoogle Scholar
  5. 5.
    Venkatraman, S.: User-centric ontology for smart holistic health information systems. Int. J. Ser. Multidiscip. Res. (IJSMR) 3, 23–37 (2017). (ISSN: 2455-2461)Google Scholar
  6. 6.
    Azimi, I., Rahmani, A.M., Liljeberg, P., Tenhunen, H.: Internet of things for remote elderly monitoring: a study from user-centered perspective. J. Ambient. Intell. Hum. Comput. 8(2), 273–289 (2017)CrossRefGoogle Scholar
  7. 7.
    Muhammad, G., Rahman, S.M.M., Alelaiwi, A., Alamri, A.: Smart health solution integrating IoT and cloud: a case study of voice pathology monitoring. IEEE Commun. Mag. 55(1), 69–73 (2017)CrossRefGoogle Scholar
  8. 8.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int. J. Hum Comput Stud. 43(5), 907–928 (1995)CrossRefGoogle Scholar
  9. 9.
    Kim, J., Kim, J., Lee, D., Chung, K.Y.: Ontology driven interactive healthcare with wearable sensors. Multimed. Tools Appl. 71(2), 827–841 (2014)CrossRefGoogle Scholar
  10. 10.
    Ko, E.J., Lee, H.J., Lee, J.W.: Ontology-based context modeling and reasoning for u-healthcare. IEICE Trans. Inf. Syst. 90(8), 1262–1270 (2007)CrossRefGoogle Scholar
  11. 11.
    W3C: SPARQL 1.1 Query Language, W3C (2013). https://www.w3.org/TR/2013/REC-sparql11-query-20130321/. Accessed 19 Oct 2016
  12. 12.
    Horrocks, I., Patel-schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: a semantic web rule language combining OWL and RuleML. W3C Member Submission, 21 May 2004, pp. 1–20 (2004)Google Scholar
  13. 13.
    Johnston, M.: Building multimodal applications with EMMA. In: Proceedings of the 2009 International Conference on Multimodal Interfaces, pp. 47–54. ACM, November 2009Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Hajar Khallouki
    • 1
    Email author
  • Mohamed Bahaj
    • 1
  • Philippe Roose
    • 2
  1. 1.Mathematics and Computer Science Department, Faculty of Sciences and TechniquesHassan I UniversitySettatMorocco
  2. 2.LIUPPA – T2IAngletFrance

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