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ARLOD: Augmented Reality Mobile Application Integrating Information Obtained from the Linked Open Drug Data

  • Carlos Daniel Flores-Flores
  • José Luis Sánchez-CervantesEmail author
  • Lisbeth Rodríguez-Mazahua
  • Luis Omar Colombo-Mendoza
  • Alejandro Rodríguez-González
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 815)

Abstract

The proliferation of mobile devices and the constant improvement of their processing capabilities has helped the improvement of other technologies, such as AR (Augmented Reality). On the other hand, there are currently more organizations that make their information available to society, such as the pharmaceutical industry, this helps the growth of the LODD (Linked Open Drug Data). Therefore, in this document we present ARLOD (Augmented Reality in Linked Open Data cloud) an application for mobile devices that integrates AR information obtained from the LODD datasets, with the intention that between the two technologies they complement each other to help solve the limitations that each of them presents and with the intention that ARLOD becomes a support tool for people involved in the field of health care. Likewise, a proposed architecture for the integration of these technologies is presented, demonstrating its usefulness through the development of ARLOD.

Keywords

ARLOD AR LODD LOD cloud Mobile application Datasets 

References

  1. 1.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)CrossRefGoogle Scholar
  2. 2.
    The Linking Open Data cloud diagram. http://lod-cloud.net/. Accessed 19 Feb 2017
  3. 3.
    Zhou, F., Duh, F.B.L., Billinghurst, M.: Trends in augmented reality tracking, interaction and display: a review of ten years of ISMAR. In: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 193–202 (2008)Google Scholar
  4. 4.
    Zhu, E., Hadadgar, A., Masiello, I., Zary, N.: Augmented reality in healthcare education: an integrative review. PeerJ 2, 1–17 (2014)CrossRefGoogle Scholar
  5. 5.
    Carlson, K.J., Gagnon, D.J.: Augmented reality integrated simulation education in health care. Clin. Simul. Nurs. 12(4), 123–127 (2016)CrossRefGoogle Scholar
  6. 6.
    Salmi, S., Ab, J., Shiratuddin, M.F., Wong, K.W., Oskam, C.L.: Utilising mobile-augmented reality for learning human anatomy. Procedia Soc. Behav. Sci. 197, 659–668 (2015)CrossRefGoogle Scholar
  7. 7.
    Shluzas, L.A., Aldaz, G., Sadler, J., Joshi, S., Leifer, L., Pickham, D.: Mobile Augmented Reality for Distributed Healthcare Point-of-View Sharing During Surgery (2014)Google Scholar
  8. 8.
    Soeiro, J., Cláudio, A.P., Carmo, M.B., Ferreira, H.A.: Mobile solution for brain visualization using augmented and virtual reality. In: 2016 20th International Conference Information Visualisation (IV), pp. 124–129 (2016)Google Scholar
  9. 9.
    Wang, R., Geng, Z., Zhang, Z., Pei, R.: Visualization techniques for augmented reality in endoscopic surgery. In: Medical Imaging and Augmented Reality, pp. 129–138 (2016)Google Scholar
  10. 10.
    Kersten-Oertel, M., Gerard, I.J., Drouin, S., Petrecca, K., Hall, J.A., Louis Collins, D.: Towards augmented reality guided craniotomy planning in tumour resections. In: Medical Imaging and Augmented Reality, pp. 163–174 (2016)Google Scholar
  11. 11.
    Kilgus, T., et al.: Mobile markerless augmented reality and its application in forensic medicine. Int. J. Comput. Assist. Radiol. Surg. 10(5), 573–586 (2015)CrossRefGoogle Scholar
  12. 12.
    Samwald, M., et al.: Linked open drug data for pharmaceutical research and development. J. Cheminform. 3(1), 19–24 (2011)CrossRefGoogle Scholar
  13. 13.
    Kozák, J., Nečaský, M., Dědek, J., Klímek, J., Pokorný, J.: Linked open data for healthcare professionals. In: Proceedings of International Conference on Information Integration and Web-based Applications & Services, pp. 400–409 (2013)Google Scholar
  14. 14.
    Hasnain, A., et al.: A roadmap for navigating the life sciences linked open data cloud. In: Semantic Technology, pp. 97–112 (2015)CrossRefGoogle Scholar
  15. 15.
    Natsiavas, P., Maglaveras, N., Koutkias, V.: Evaluation of linked, open data sources for mining adverse drug reaction signals. In: Internet Science, pp. 310–328 (2017)Google Scholar
  16. 16.
    Gray, A.J.G., et al.: Applying linked data approaches to pharmacology: architectural decisions and implementation. Semant. Web 5(2), 101–113 (2014)Google Scholar
  17. 17.
    Goble, C., et al.: Incorporating commercial and private data into an open linked data platform for drug discovery. In: The Semantic Web—ISWC 2013, pp. 65–80 (2013)CrossRefGoogle Scholar
  18. 18.
    Jovanovik, M., Najdenov, B., Strezoski, G., Trajanov, D.: Linked open data for medical institutions and drug availability lists in macedonia. In: New Trends in Database and Information Systems II, pp. 245–256 (2015)Google Scholar
  19. 19.
    Chhaya, P., Choi, C.H., Lee, K.H., Cho, W.S., Lee, Y.S.: KMLOD: linked open data service for Korean medical database. J. Supercomput. (2017)Google Scholar
  20. 20.
    Balog, A., Pribeanu, C.: The role of perceived enjoyment in the students’ acceptance of an augmented reality teaching platform: a structural equation modelling approach. Stud. Inf. Control 19, 319–330 (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Carlos Daniel Flores-Flores
    • 1
  • José Luis Sánchez-Cervantes
    • 2
    Email author
  • Lisbeth Rodríguez-Mazahua
    • 1
  • Luis Omar Colombo-Mendoza
    • 1
  • Alejandro Rodríguez-González
    • 3
  1. 1.Tecnológico Nacional de México/I.T. OrizabaOrizabaMexico
  2. 2.Division of Research and Postgraduate StudiesCONACYT-Instituto Tecnológico de OrizabaOrizabaMexico
  3. 3.Departamento de Lenguajes y Sistemas Informáticos e Ingeniería del Software, Escuela Técnica Superior de Ingenieros InformáticosUniversidad Politécnica de MadrirMadridSpain

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