Skip to main content
SpringerLink
Log in
Book cover

Information Technology - New Generations pp 627–630Cite as

Semantic Description of Healthcare Devices to Enable Data Integration

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 738))

Abstract

With the blooming of data created for example by IoT devices, the possibility to handle all information coming from healthcare applications is becoming increasingly challenging. Cognitive computing systems can be used to analyse large information volume by providing insights and recommendations to represent, access, integrate, and investigate data in order to improve outcomes across many domains, including healthcare. This paper presents an ontology-based system for the eHealth domain. It provides semantic interoperability among heterogeneous IoT devices and facilitates data integration and sharing. The novelty of the proposed approach lies in exploiting semantic web technologies to explicitly describe the meaning of sensor data and define a common communication strategy for information representation and exchange.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. J.A. Mendoza, K.S. Baker, M.A. Moreno, K. Whitlock, M. Abbey-Lambertz, A. Waite, T. Colburn, E.J. Chow, Fitbit and Facebook mHealth intervention for promoting physical activity among adolescent and young adult childhood cancer survivors: a pilot study. Pediatr. Blood Cancer 64(12) (2017)

    Google Scholar 

  2. S.R. Islam, D. Kwak, M.H. Kabir, M. Hossain, K.-S. Kwak, The internet of things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)

    Article  Google Scholar 

  3. J. Kim, J.W. Lee, OpenIoT: an open service framework for the internet of things, in IEEE World Forum on Internet of Things (2014)

    Google Scholar 

  4. J. Sun, C.K. Reddy, Big data analytics for healthcare, in Tutorial Presentation at the SIAM International Conference on Data Mining (Texas, USA, 2013), p. 327

    Google Scholar 

  5. S. Riccucci, A. Carbonaro, G. Casadei, An architecture for knowledge management in intelligent tutoring system, in IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA (2005), pp. 473–476

    Google Scholar 

  6. J. Fox, Cognitive systems at the point of care: The CREDO program. J. Biomed. Inform. 68, 83–95 (2017)

    Article  Google Scholar 

  7. A. Carbonaro, V. Maniezzo, M. Roccetti, P. Salomoni, Modelling the student in Pitagora 2.0. User Model. User-Adap. Inter. 4(4), 233–251 (1994)

    Article  Google Scholar 

  8. A. Carbonaro, P. Zingaretti, Object tracking in a varying environment, in IEEE Conference Publication Issue 443 pt 1. (1997), pp. 229–233

    Google Scholar 

  9. A. Carbonaro, P. Zingaretti, A comprehensive approach to image-contrast enhancement, in Proceedings—International Conference on Image Analysis and Processing, Article number 797602 (1999), pp. 241–246

    Google Scholar 

  10. R. Fang, S. Pouyanfar, Y. Yang, S.-C. Chen, S.S. Iyengar, Computational health informatics in the Big Data Age: a survey. ACM Comput. Surv 49(1), Article 12 (2016)

    Article  Google Scholar 

  11. A.G. Patel, S.K. Datta, M.I. Ali, SWoTSuite: a toolkit for prototyping end-to-end semantic web of things applications, in Proceedings of the 26th International Conference on World Wide Web Companion (2017), pp. 263–267

    Google Scholar 

  12. A. Carbonaro, Towards an automatic forum summarization to support tutoring, in Technology Enhanced Learning: Quality of Teaching and Educational Reform, (Springer, Berlin, Heidelberg, 2010), pp. 141–147

    Chapter  Google Scholar 

  13. N. Henze, P. Dolog, W. Nejdl, Reasoning and ontologies for personalized e-learning in the semantic web. Educ. Technol. Soc. 7(4), 82–97 (2004)

    Google Scholar 

  14. A. Andronico, A. Carbonaro, L. Colazzo, A. Molinari, M. Ronchetti, A. Trifonova, Designing models and services for learning management systems in mobile settings, in Workshop on Mobile and Ubiquitous Information Access, (Springer, Berlin, 2003)

    Google Scholar 

  15. A. Andronico, A. Carbonaro, L. Colazzo, A. Molinari, Personalisation services for learning management systems in mobile settings. Int. J. Contin. Eng. Educ. Life Long Learn 14(4–5), 353–369 (2004)

    Article  Google Scholar 

  16. Carbonaro A., Defining personalized learning views of relevant learning objects in a collaborative bookmark management system, in Web-Based Intelligent ELearning Systems: Technologies and Applications, ed. by Z. Ma (Information Science Publishing, Hershey, PA) , 2006, pp. 139–155

    Google Scholar 

  17. N.F. Noy, D.L. McGuinness, Ontology development 101: a guide to creating your first ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 (2001)

    Google Scholar 

  18. Shearer R., B. Motik, I. Horrocks, Hermit: a highly-efficient owl reasoner, in OWLED, vol. 432 (2008), p 91

    Google Scholar 

  19. F. Amardeilh, Semantic annotation and ontology population, in Semantic Web Engineering in the Knowledge Society (2008), p.424

    Google Scholar 

  20. F. Manola, E. Miller, B. McBride, RDF primer. W3C Recommend. 10(1–107), 6 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

    Antonella Carbonaro & Roberto Reda

  2. Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) S.r.l., IRCCS, Oncology Research Hospital, Meldola, FC, Italy

    Filippo Piccinini

Authors
  1. Antonella Carbonaro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Filippo Piccinini
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Roberto Reda
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonella Carbonaro .

Editor information

Editors and Affiliations

  1. Department of Electrical & Computer Engineering, University of Nevada, Las Vegas, Las Vegas, Nevada, USA

    Shahram Latifi

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Carbonaro, A., Piccinini, F., Reda, R. (2018). Semantic Description of Healthcare Devices to Enable Data Integration. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-77028-4_80

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-77028-4_80

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77027-7

  • Online ISBN: 978-3-319-77028-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation