Skip to main content

A Data Exchange Tool Based on Ontology for Emergency Response Systems

  • Conference paper
  • First Online:
Metadata and Semantic Research (MTSR 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 755))

Included in the following conference series:

Abstract

Considering the potential of Emergency Response Systems (ERS) in combination with crowd-based information, this article presents a data integration solution within the scope of the RESCUER project: an ontology based data exchange solution to allow semantic interoperability between ERS of Command and Control Centers, referred to as Legacy Systems, and RESCUER. The solution is implemented by the Data Integration with Legacy Systems (DILS) component which can be used for the exchange of incident information by any ERS. As a result, we evaluated simulated emergency cases by sending RESCUER emergency reports to another ERS with the DILS.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

Notes

  1. 1.

    http://www.rescuer-project.org/.

  2. 2.

    The term “Legacy Systems” was used in the context of the RESCUER project to refer to pre-existent ERS which could interact with RESCUER.

  3. 3.

    https://www.oasis-open.org/committees/emergency/.

  4. 4.

    http://usc-isi-i2.github.io/karma/.

  5. 5.

    http://www.rabbitmq.com.

  6. 6.

    http://www.semafora-systems.com/en/products/ontobroker/.

References

  1. Besaleva, L.I., Weaver, A.C.: Applications of social networks and crowdsourcing for disaster management improvement. In: 2013 International Conference on Social Computing (SocialCom), pp. 213–219. IEEE (2013)

    Google Scholar 

  2. Barros, R., Kislansky, P., Salvador, L., Almeida, R., Breyer, M., Gasparin, L.: EDXL-RESCUER ontology: conceptual model for semantic integration (2015)

    Google Scholar 

  3. Arenas, M., Libkin, L.: XML data exchange: consistency and query answering. J. ACM 55, 7 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  4. Peng, L., Man, Y.: A novel data exchange model based on P2P and ontology. In: Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013, pp. 1693–1696 (2013)

    Google Scholar 

  5. Babitski, G., Bergweiler, S., Grebner, O., Oberle, D., Paulheim, H., Probst, F.: SoKNOS – Using Semantic Technologies in Disaster Management Software. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., Leenheer, P., Pan, J. (eds.) ESWC 2011. LNCS, vol. 6644, pp. 183–197. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21064-8_13

    Chapter  Google Scholar 

  6. Barros, R., Vieira, V., Salvador, L., Almeida, R.: Semantic interoperability between emergency response systems. In: Proceedings of the 31st Brazilian Symposium on Databases, pp. 199–204 (2016). (In Portuguese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marian Weber .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Simas, F., Barros, R., Salvador, L., Weber, M., Amorim, S. (2017). A Data Exchange Tool Based on Ontology for Emergency Response Systems. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds) Metadata and Semantic Research. MTSR 2017. Communications in Computer and Information Science, vol 755. Springer, Cham. https://doi.org/10.1007/978-3-319-70863-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70863-8_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70862-1

  • Online ISBN: 978-3-319-70863-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics