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Intelligent System

  • David E. ForbesEmail author
  • Pornpit Wongthongtham
  • Chamonix Terblanche
  • Udsanee Pakdeetrakulwong
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 123)

Abstract

Ontologies play an important role in enabling knowledge representation, knowledge management, and knowledge sharing. Many applications benefit greatly from making use of ontologies as a means of achieving semantic interoperability among heterogeneous and distributed systems.

References

  1. Chen, Y., Argentinis, J.D.E., Weber, G.: IBM watson: how cognitive computing can be applied to big data challenges in life sciences research. Clin. Ther. 38(4), 688–701 (2016)CrossRefGoogle Scholar
  2. Forbes, D.E.: A Framework for Assistive Communications Technology in Cross-Cultural Healthcare. Curtin University (2013)Google Scholar
  3. Freitas, A., Panisson, A.R., Hilgert, L., Meneguzzi, F., Vieira, R., Bordini, R.H.: Integrating ontologies with multi-agent systems through CArtAgO artifacts. In: 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Singapore: IEEE (2015)Google Scholar
  4. Garanina, N.O., Sidorova, E., Bodin, E.V.: A multi-agent approach to unstructured data analysis based on domain-specific onthology. In: 22nd International Workshop on Concurrency, Specification and Programming, Warsaw, Poland: Citeseer (2013)Google Scholar
  5. Gwynne, K., Lincoln, M.: Developing the rural health workforce to improve Australian Aboriginal and Torres Strait Islander health outcomes: a systematic review. Australian Health Review. http://www.publish.csiro.au/ah/AH15241 (2016)
  6. Infections Persist, Pandemics Rule. The Spectator Australia. 22 Apr 2017. Available at https://spectator.com.au/2017/04/infections-persist-pandemics-rule/ (2017). Accessed 5 May 2017
  7. Li, S., Mackaness, W.A.: A multi-agent-based, semantic-driven system for decision support in epidemic management. Health Inf. J. 21(3), 195–208 (2015)Google Scholar
  8. Li, L., Wu, B., Yang, Y.: Agent-based ontology integration for ontology-based applications. In: Proceedings of the 2005 Australasian Ontology Workshop. Sydney, Australia, Aust. Comput. Soc. Inc 58, 53–59 (2005)Google Scholar
  9. Monte-Alto, H., Biasão, A., Teixeira, L., Huzita, E.: Multi-agent applications in a context-aware global software development environment distributed computing and artificial intelligence. 265–272. Springer Berlin / Heidelberg (2012)Google Scholar
  10. Oriche, A., Chekry, A., Khaldi, M.: Intelligent agents for the semantic annotation of educational resources. Int. J. Soft Comput. Eng. (IJSCE) 3(5), 2231–2307 (2013)Google Scholar
  11. Rosendal, M., Hartman, T.C.O., Aamland, A., van der Horst, H., Lucassen, P., Budtz-Lilly, A., Burton, C.: ‘Medically unexplained’ symptoms and symptom disorders in primary care: prognosis-based recognition and classification. BMC Fam. Pract. 18(1), 18 (2017)CrossRefGoogle Scholar
  12. Simpkin, A.L., Schwartzstein, R.M.: Tolerating uncertainty—the next medical revolution? N. Engl. J. Med. 375(18), 1713–1715 (2016)CrossRefGoogle Scholar
  13. Smalberger, C.: An employer demand intelligence framework. http://espace.library.curtin.edu.au/R?func=dbin-jump-full&local_base=gen01-era02&object_id=199399 (2013)
  14. Teixeira, L.O., Huzita, E.: DiSEN-AlocaHR: A multi-agent mechanism for human resources allocation in a distributed software development environment. In: 11th International Conference in Distributed Computing and Artificial Intelligence. 227–234. Cham: Springer International Publishing (2014)Google Scholar
  15. Thompson, S.: “Cultural competence in healthcare” email exchange with author Forbes 6 April (2017)Google Scholar
  16. Trudgen, R.: Why warriors lie down and die: Towards an Understanding of Why the Aboriginal people of Arnhem Land Face the Greatest Crisis in health and education since European contact. Aboriginal Resource and Development Services, Darwin (2000)Google Scholar
  17. Wang, M., Lee, C., Hsieh, K., Hsu, C., Acampora, G., Chang, C.: Ontology-based multi-agents for intelligent healthcare applications. J. Ambient Intell. Humanized Comput. 1(2), 111–131 (2010)Google Scholar
  18. Yang, K., Lo, A., Steele, R.: An Ontology-based Multi-Agent System for the Accommodation Industry. In: 13th Australasian World Wide Web Conference, AusWeb07, New South Wales, Australia, 30 Jun–4 Jul 2007. 193–205 (2007)Google Scholar
  19. Ying, W., Ray, P., Lewis, L.: A methodology for creating ontology-based multi-agent systems with an experiment in financial application development. In: 46th Hawaii International Conference on, Wailea, Maui, Hawaii, USA, Sys. Sci. (HICSS), 7–10 Jan 2013. 3397–3406. IEEE (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • David E. Forbes
    • 1
    Email author
  • Pornpit Wongthongtham
    • 2
  • Chamonix Terblanche
    • 3
  • Udsanee Pakdeetrakulwong
    • 4
  1. 1.Independent ResearcherPerthAustralia
  2. 2.Curtin UniversityPerthAustralia
  3. 3.City of CockburnPerthAustralia
  4. 4.Nakhon Pathom Rajabhat UniversityNakhon PathomThailand

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