Using Ontologies to Support Model-based Exploration of the Dependencies between Causes and Consequences of Hazards

Abigail Parisaca Vargas, Robin Bloomfield

2015

Abstract

Hazard identification and hazard analysis are difficult and essential parts of safety engineering. These activities are very demanding and mostly manual. There is an increasing need for improved analysis tools and techniques. In this paper we report research that focuses on supporting the early stages of hazard identification. A state-based hazard analysis process is presented to explore dependencies between causes and consequences of hazards. The process can be used to automate the analysis of preliminary hazard worksheets with the aims of making them more precise, disambiguating causal relationships, and supporting the proper definition of system boundaries. An application example is presented for a railway system.

References

  1. Benevides, A. B., Guizzardi, G., Braga, B. F. B., and Almeida, J. P. A. (2010). Validating modal aspects of ontouml conceptual models using automatically generated visual world structures. J. UCS, 16(20):2904- 2933.
  2. Center for Devices and Radiological Health, US FDA (2010). Total product life cycle: infusion pump - premarket notification [510(k)] submissions.
  3. Corcho, O., Fernández-López, M., and Gómez-Pérez, A. (2003). Methodologies, tools and languages for building ontologies: Where is their meeting point? Data Knowl. Eng., 46(1):41-64.
  4. Cranefield, S. and Purvis, M. (1999). Uml as an ontology modelling language. In In Proceedings of the Workshop on Intelligent Information Integration, 16th International Joint Conference on Artificial Intelligence (IJCAI-99, pages 46-53.
  5. Crawley, E. and Dori, D. (2011). Object-Process Methodology: A Holistic Systems Paradigm. Springer Berlin Heidelberg.
  6. Daramola, O., Stralhane, T., Sindre, G., and Omoronyia, I. (2011). Enabling hazard identification from requirements and reuse-oriented hazop analysis. In Managing Requirements Knowledge (MARK), 2011 Fourth International Workshop on.
  7. de Almeida Falbo, R. (2014). Sabio: Systematic approach for building ontologies. In Proceedings of the 1st Joint Workshop ONTO.COM / ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering co-located with 8th International Conference on Formal Ontology in Information Systems, ONTO.COM/ODISE@FOIS 2014, Rio de Janeiro, Brazil, September 21, 2014.
  8. Devedzic, V. (2002). Understanding ontological engineering. Commun. ACM, 45(4):136-144.
  9. Evans, D. and Associates, I. (2006). West corridor LRT project final engineering design phase preliminary hazard analysis draft revision 0. http:// www.rtd-fastracks.com/media/uploads/wc/ WC Risk Assessment Draft 06-06.pdf.
  10. Fellbaum, C. (1990). English verbs as a semantic net. International Journal of Lexicography, 3(4):278-301.
  11. Hardy, T. (2010). Using accident reports to improve the hazard identification process. 28th International System Safety Conference.
  12. International Organization for Standardization (2000). ISO 14971: medical devices - application of risk management to medical devices. ISO.
  13. ISO (1999). ISO/IEC GUIDE 51:1999(E): Safety Aspects - Guidelines for Their Inclusion in Standards. Australian Standards.
  14. Kletz, T. (2001). Hazop and Hazan: Identifying and Assessing Process Industry Hazards. The Institution of Chemical Engineers.
  15. Ladkin, P. B. (2005). Ontological analysis. Safety Systems, 14(3).
  16. Ladkin, P. B. (2010). Ontological hazard analysis of a communication bus system. Technical report, Causalis Limited.
  17. Leach, K. (2010). A Demonstration of the Applicability of HAZOP to Voting Systems. New Castle University.
  18. LEE, B. H. (2001). Using fmea models and ontologies to build diagnostic models. AI EDAM, 15:281-293.
  19. Letia, I. and Groza, A. (2010). Developing hazard ontology for supporting haccp systems in food supply chains. In
  20. Intelligent Systems and Informatics (SISY), 2010 8th
  21. International Symposium on, pages 57-62.
  22. Leveson, N. G. (2011). Engineering a safer world: Systems thinking applied to safety. MIT Press.
  23. Liu, G., Wang, Y., and Wu, C. (2010). Research and application of geological hazard domain ontology. In Geoinformatics, 2010 18th International Conference on, pages 1-6.
  24. Railtrack (2001). Engineering Safety Management, volume 1 and 2. Railtrack.
  25. Simperl, E., Mochol, M., Bürger, T., and Popov, I. O. (2009). Achieving maturity: The state of practice in ontology engineering in 2009. In Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II, OTM 7809, pages 983-991, Berlin, Heidelberg. Springer-Verlag.
  26. Stanford Center for Biomedical Informatics Research, S. U. S. o. M. (2015). Protege 5.0 beta version. http://protege.stanford.edu/.
  27. Stralhane, T., Omoronyia, I., and Reicenbach, F. (2010). Ontology-guided requirements and safety analysis. In 6th International Conference on Safety of Industrial Automated Systems.
  28. Sussman, J., Dodder, R. S., McConnel, J. B., Mostashari, A., and Sgouridis, S. (2009). The clios process a user's guide. https://esd.mit.edu/Faculty Pages/ sussman/CLIOS-PROCESS.pdf.
  29. Swartout, W. and Tate, A. (1999). Guest editors' introduction: Ontologies. IEEE Intelligent Systems, 14(1):18- 19.
  30. Transport Canada (2014). Rail transportation. www.tc.gc.ca/eng/rail-menu.htm.
  31. Valente, A., Russ, T., MacGregor, R., and Swartout, W. (1999). Building and (re)using an ontology of air campaign planning. IEEE Intelligent Systems, 14(1):27- 36.
  32. Wang, H.-H. and Boukamp, F. (2009). Ontology-Based Job Hazard Analysis Support, chapter 66, pages 676-685. American Society of Civil Engineers.
  33. Winther, R., Johnsen, O.-A., and Gran, B. (2001). Security assessments of safety critical systems using hazops. In Computer Safety, Reliability and Security, volume 2187 of Lecture Notes in Computer Science, pages 14-24. Springer-Verlag.
  34. www.allenrailroad.com (2014). Railroad glossary and definitions. http://www.allenrailroad.com/consulting/ Railroad Glossary.htm.
  35. www.railsigns.uk (2014). Rail signs and signals of great britain. http://www.railsigns.uk.
  36. www.railway-technical.com (2014). Railway technical web pages. http://www.railway-technical.com.
  37. www.trafficsigns.us (2014). Manual of traffic signs. http://www.trafficsign.us/railsign.html.
  38. Yang, X., Gao, R., Han, Z., and Sui, X. (2012). Ontologybased hazard information extraction from chinese food complaint documents. In Tan, Y., Shi, Y., and Ji, Z., editors, Advances in Swarm Intelligence, volume 7332 of Lecture Notes in Computer Science, pages 155-163. Springer Berlin Heidelberg.
  39. Zhang, Y., Jones, P. L., and Jetley, R. (2010). A hazard analysis for a generic insulin infusion pump. Journal of diabetes science and technology, 4(2):263.
Download


Paper Citation


in Harvard Style

Parisaca Vargas A. and Bloomfield R. (2015). Using Ontologies to Support Model-based Exploration of the Dependencies between Causes and Consequences of Hazards . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 316-327. DOI: 10.5220/0005618003160327


in Bibtex Style

@conference{keod15,
author={Abigail Parisaca Vargas and Robin Bloomfield},
title={Using Ontologies to Support Model-based Exploration of the Dependencies between Causes and Consequences of Hazards},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)},
year={2015},
pages={316-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005618003160327},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)
TI - Using Ontologies to Support Model-based Exploration of the Dependencies between Causes and Consequences of Hazards
SN - 978-989-758-158-8
AU - Parisaca Vargas A.
AU - Bloomfield R.
PY - 2015
SP - 316
EP - 327
DO - 10.5220/0005618003160327