Skip to main content

Semantic Modeling of Cascading Risks in Interoperable Socio-technical Systems

  • Conference paper
  • First Online:
Enterprise Interoperability VIII

Abstract

We present a method to create semantic representations of cascading risks of interoperable socio-technical systems. This is based on a structured domain ontology representing socio-technical systems, their interdependencies, environmental and anthropic hazards, and the related threats. The ontology is accompanied by a software application, i.e., the CREAtivity Machine that generates cascades of risks by means of semantic and computational creativity techniques. The presented running prototype refers to risk assessment of critical infrastructures; however, the same method can be applied to risks concerning other system types like businesses, ecosystems, and financial networks.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
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

Institutional subscriptions

References

  1. Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199–220.

    Article  Google Scholar 

  2. Coletti, A., Howe, P. D., Yarnal, B., & Wood, N. J. (2013). A support system for assessing local vulnerability to weather and climate. Natural Hazards, 65(1), 999–1008.

    Article  Google Scholar 

  3. Coletti, A., De Nicola, A., & Villani, M. L. (2016). Building climate change into risk assessments. Natural Hazards, 84(2), 1307–1325.

    Article  Google Scholar 

  4. Coletti, A., De Nicola, A., and Villani, M. L. (2017). Enhancing creativity in risk assessment of complex sociotechnical systems. In O. Gervasi et al. (Eds.), Computational science and its applications—ICCSA 2017. Lecture Notes in Computer Science, Vol. 10405. Cham: Springer.

    Chapter  Google Scholar 

  5. Coletti, A., De Nicola, A., Vicoli, G., & Villani, M. L. (2017). A gamified approach to participatory modelling of water system risks. In Proceedings of the 12th International Conference on Critical Information Infrastructures Security.

    Google Scholar 

  6. Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., & Havlin, S. (2010). Catastrophic cascade of failures in interdependent networks. Nature, 464(7291), 1025–1028.

    Article  Google Scholar 

  7. Rinaldi, S. M., Peerenboom, J. P., & Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems, 21(6), 11–25.

    Article  Google Scholar 

  8. Kotzanikolaou P., Theoharidou M., Gritzalis D. (2013). Interdependencies between critical infrastructures: Analyzing the risk of cascading effects. In S. Bologna, B. Hämmerli, D. Gritzalis, S. Wolthusen (Eds.), Critical Information Infrastructure Security. CRITIS 2011. Lecture Notes in Computer Science, Vol. 6983. Berlin, Heidelberg: Springer.

    Google Scholar 

  9. Haase, D. (2013). Participatory modelling of vulnerability and adaptive capacity in flood risk management. Natural Hazards, 67(1), 77–97.

    Article  Google Scholar 

  10. Maiden, N., Zachos, K., Lockerbie, J., Hoddy, S., & Camargo, K. (2017). Establishing digital creativity support in non-creative work environments. In Proceedings of the 11th ACM Creativity and Cognition Conference. ACM.

    Google Scholar 

  11. Deltares. CIrcle. Retrieved October 31, 2017 from www.deltares.nl/circle.

  12. Gangemi, A., & Presutti, V. (2009). Ontology design patterns. In S. Staab & R. Studer (Eds.), Handbook on ontologies. International handbooks on information systems. Berlin, Heidelberg: Springer.

    Google Scholar 

  13. Colton, S., Wiggins, G. A. (2012). Computational creativity: The final frontier? In Proceedings of the 20th European Conference on Artificial Intelligence (pp. 21–26). IOS Press.

    Google Scholar 

  14. Apache Jena, version 2.11.1. Retrieved October 31, 2017 from http://jena.apache.org/.

  15. Speer, R., Havasi, C., Lieberman, H. (2008). AnalogySpace: reducing the dimensionality of common sense knowledge. In Proceedings of the 23rd National Conference on Artificial Intelligence, AAAI 2008 (Vol. 1, pp. 548–553). AAAI Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio De Nicola .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Coletti, A., De Nicola, A., Vicoli, G., Villani, M.L. (2019). Semantic Modeling of Cascading Risks in Interoperable Socio-technical Systems. In: Popplewell, K., Thoben, KD., Knothe, T., Poler, R. (eds) Enterprise Interoperability VIII. Proceedings of the I-ESA Conferences, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-13693-2_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-13693-2_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13692-5

  • Online ISBN: 978-3-030-13693-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics