Skip to main content

Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems

  • Conference paper
  • First Online:
Recent Trends and Advances in Model Based Systems Engineering

Abstract

This paper explores the critical issue of temporal modeling and reasoning for successful systems of systems (SoS) architecting and operations. The increasing complexity of missions results into needs to leverage capabilities of constituent systems (CSs) in multiple domains, distributed geographically and temporally (different time zones) too. This introduces issues capable of hindering mission success including clock drifts and synchronization as well as communication delays. To assure correctness of SoS functionality in the face of these challenges, we develop and introduce a new ontological framework for modeling and time-based reasoning in SoS. Knowledge representation of time and temporal semantics in SoS modeling are discussed with a focus on the central role description logics (DL) and interval-based time semantics play in the development of the new framework. The latter consists of a DL-backed theoretical foundation providing formalisms to ontological models encapsulating temporal knowledge on top of which time-based modeling and reasoning applications for SoS can be built. A prototype implementation with a military-directed SoS has been illustrated and is currently under development.

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
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
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

  • Allen, J.F. 1983. Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26 (11): 832–843.

    Article  MATH  Google Scholar 

  • AMADEOS Consortium. 2016. AMADEOS conceptual model, Deliverable D2.3, Revised.

    Google Scholar 

  • Apache Jena., http://www.jena.apache.org, 2013.

  • Baader F., D.L. McGuinness, D. Nardi, and P.F. Patel-Schneider. 2003. The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge.

    Google Scholar 

  • Campbell J.E., D.E. Longsine, D. Shirah, and D.J. Anderson. 2005. System of Systems Modeling and Analysis, SAND Report #SAND2005-0020, Sandia National Laboratories, January 2005.

    Google Scholar 

  • DeLaurentis, D. 2007. System of Systems Definition and Vocabulary. School of Aeronautics and Astronautics: Purdue University, West Lafayette, IN.

    Google Scholar 

  • Department of Defense (DoD). 2004. Defense Acquisition Guidebook Ch. 4 “System of Systems Engineering,” Washington, DC: Pentagon.

    Google Scholar 

  • Fayadh A.M., and S.T. Hasson. 2019. Insights of Models for Air Traffic Management System. International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, 8(3S3), November 2019.

    Google Scholar 

  • Hood, G. Eye in the Sky, Drama/Thriller, 1h 43m, Released April 1, 2016 (USA).

  • Leela, M., Kumar D. Manoj, and G. Bhavana. 2018. Clock Synchronisation in Distributed Systems: A Review. International Journal of Recent Engineering Research and Development (IJRERD) 03 (04): 14–17.

    Google Scholar 

  • Moszkowski, H., et al. 1984. Reasoning in interval Temporal Logic and Tempura. In Proceeding ofthe AMC/NCF/ONR Workshop on Logics of Programs, volume 164 of LNCS, pp. 371 – 383. Springer, 1984.

    Google Scholar 

  • Petnga, L., and M.A. Austin. 2013. Ontologies of Time and Time-based Reasoning for MBSE of Cyber-Physical Systems, 11th Annual Conference on Systems Engineering Research (CSER 2013). Atlanta, GA, March 19–22.

    Google Scholar 

  • ———. January 2016. An Ontological Framework for Knowledge Modeling and Decision Support in Cyber-Physical Systems. Advanced Engineering Informatics 30 (1): 77–94.

    Article  Google Scholar 

  • Rudolph, S. 2011. Foundations of Description Logics. Germany: Karlsruhe Institute of Technology.

    Book  Google Scholar 

  • World Wide Web Consortium (W3C), Time Ontology in OWL, accessible at: http://www.w3.org/TR/owl-time/, 2006.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Surya Vamsi Varma Sagi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sagi, S.V.V., Petnga, L. (2022). Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems. In: Madni, A.M., Boehm, B., Erwin, D., Moghaddam, M., Sievers, M., Wheaton, M. (eds) Recent Trends and Advances in Model Based Systems Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-82083-1_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-82083-1_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82082-4

  • Online ISBN: 978-3-030-82083-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics