Skip to main content

Intelligent Cargo – Using Internet of Things Concepts to Provide High Interoperability for Logistics Systems

  • Chapter
  • First Online:
Architecting the Internet of Things

Abstract

The advancements in technology and increased need for streamlined business operations demand new ways in cooperation. In recent years, the Internet of Things has been recognised to be an important future technology, providing new opportunities for enhancing the exchange of information and status updates on real-time regarding business operations. Therefore, Internet of Things concepts have been adopted by several businesses to improve operations. This chapter describes the challenges that arise when implementing the ideas of the Internet of Things, regarding technology, interoperability and architecture of Internet of Things-compatible systems. Besides introducing the basic theories and concepts used to attack the mentioned challenges of Internet of Things applications, this chapter presents the EU-Framework Programme 7-funded project EURIDICE, which aims to conduct the concepts of Internet of Things to provide an open information platform for the transport sector utilising “Intelligent Cargo”.

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 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Cardoso J, Sheth A (2005) Semantic Web Services and Web Process Composition. First International Workshop - SWSWPC 2004 -Revised Selected Papers. Springer, Berlin, Heidelberg

    Google Scholar 

  • Clark T, Jones R (1999) Organisational interoperability maturity model for C2. Proceedings of the 1999 Command and Control Research and Technology Symposium. Newport, USA

    Google Scholar 

  • Durfee EH, Lesser VR (1989) Negotiating task decomposition and allocation using partial global planning. In: Huhns M, Gasser L (eds) Distributed Artificial Intelligence Vol 2. Morgan Kaufmann Publishers Inc, San Francisco

    Google Scholar 

  • Ehrig M (2006) Ontology Alignment: Bridging the Semantic Web Gap. Springer Verlag, Berlin

    Google Scholar 

  • EPCglobal (2009), The EPCglobal Architecture Framework. http://www.epcglobalinc.org/standards/architecture/architecture_1_3framework-20090319.pdf. Accessed 30 June 2010

  • Euridice (2009) EURIDICE Whitepaper. http://www.euridice-project.eu. Accessed 30 June 2010

  • European Comission, DG INFSO (2009) Intelligent Cargo Systems study. http://ec.europa.eu/information_society/activities/esafety/doc/2009/intelligent_cargo_study_final.pdf. Accessed 30 June 2010

  • Fensel D, Bussler C (2002) The web service modeling framework WSMF. Electron Commer Res Appl 1: 113-137

    Article  Google Scholar 

  • FIPA (2006) Foundation for Intelligent Physical Agents. FIPA Abstract Architecture Specification. http://www.fipa.org/repository/architecturespecs.php3. Accessed 30 June 2010

  • Glover B, Bhatt H (2006) RFID Essentials - Theory in Practice. O’Reilly Media, USA

    Google Scholar 

  • Goh C, Madnick S, Siegel M (1994) Context interchange: overcoming the challenges of largescale interoperable database systems in a dynamic environment. Proceedings of the third international conference on Information and knowledge management. ACM Press, New York

    Google Scholar 

  • Gruber TR (1995) Toward Principles for the Design of Ontologies Used for Knowledge Sharing. Int J Hum Comp Stud 43: 907-928

    Article  Google Scholar 

  • Guarino N (1997) Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration. In: Pazienza MT (ed) Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology. Springer, Heidelberg

    Google Scholar 

  • Hendler J, Heflin J (2000) Semantic Interoperability on the Web, Proceedings of the Extreme Markup Languages 2000, Graphic Communications Assoc., Montreal, Canada

    Google Scholar 

  • Isbell D, Hardin M, Underwood J (1999) Mars Climate Orbiter Team Finds Likely Cause of

    Google Scholar 

  • Loss. http://www.spaceref.com/news/viewpr.html?pid=2937. Accessed 30 June 2010

  • Li H, Du X, Tian X (2007) Towards semantic web services discovery with QoS support using specific ontologies. Proceedings of the Third International Conference on Semantics, Knowledge and Grid (SKG 2007). IEEE Digital Library, Xi’an, China

    Google Scholar 

  • Mascardi V, Cordì V, Rosso P (2007) A comparison of upper ontologies. Proceedings of the WOA07. Genoa, Italy

    Google Scholar 

  • Maturana F, Shen W, Norrie DH (1999) MetaMorph: An Adaptive Agent-Based Architecture for Intelligent Manufacturing. Int J of Prod Res 37: 2159 – 2173. doi:10.1080/002075499190699

    Article  MATH  Google Scholar 

  • Matuszek C, Cabral J, Witbrock M, DeOliveira J (2006) An Introduction to the Syntax and Content of Cyc. Proceedings of the 2006 AAAI Spring Symposium on Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering. Stanford

    Google Scholar 

  • Musen MA (1998) Domain ontologies in software engineering: use of protege with the EON architecture. Methods Inf Med 37: 540-550

    Google Scholar 

  • Niles I, Pease A (2001) Towards a standard upper ontology. Proceedings of the international conference on Formal Ontology in Information Systems Vol 2001. ACM Press

    Google Scholar 

  • Obrst, L (2003) Ontologies for semantically interoperable systems. Information and knowledge management, ACM, New York

    Google Scholar 

  • Omelayenko B, Crubzy M, Fensel D, Benjamins R, Wielinga B, Motta E, Musen M, Ding Y (2003) UPML: The Language and Tool Support for Making the Semantic Web Alive, chapter Ontologies and Knowledge Bases. Towards a Terminological Clarification. The MIT Press, Cambridge

    Google Scholar 

  • Paolucci M, Sycara K (2003) Autonomous semantic web services. IEEE Internet Comp 7: 34-41

    Article  Google Scholar 

  • Papazoglou MP, Tari Z, Spaccapietra S (2000) Advances in Object-Oriented Data Modeling. MIT Press, Cambridge

    Google Scholar 

  • Preis C (2007) Semantic Web Services: Concepts, Technologies, and Applications, chapter Goals and Vision. Springer, Berlin

    Google Scholar 

  • Renner SA, Rosenthalm AS, Scarano JG (1995) Data Interoperability: Standardization or Mediation. Proceedings of the IEEE Metadata Workshop. Silver Spring, USA

    Google Scholar 

  • Roman D, de Bruin J, Mocan A, Toma I, Lausen H, Kopecky J, Bussler C, Fensel D, Domingue J, Galizia S, Cabral L (2006) Semantic Web Technologies - trends and research in ontologybased systems. John Wiley & Sons Ltd., Chichester

    Google Scholar 

  • Schumacher J, Rieder M, Gschweidl M (2009) EURIDICE – An enabler for intelligent cargo. The 2nd International Multi-Conference on Engineering and Technological Innovation (IMETI). Florida, USA

    Google Scholar 

  • Stohr EA, Zhao JL (2001) Workflow automation: Overview and research issues. Inf Syst Front 3: 281-296. doi: 10.1023/A:1011457324641

    Article  Google Scholar 

  • Updegrove A (2005) The future of the web: An interview with Tim Berners-Lee. http://www.consortiuminfo.org/bulletins/jun05.php. Accessed 30 June 2010

  • W3C (2004) OWL-S: Semantic Markup for Web Services. http://www.w3.org/Submission/OWL-S/. Accessed 30 June 2010

  • Warren P, Studer R, Davies J (2006) Semantic Web Technologies - trends and research in ontology-based systems. John Wiley & Sons Ltd. Chichester

    Google Scholar 

  • Winters LS, Gorman MM, Tolk A (2006) Next Generation Data Interoperability: It’s all About the Metadata. Proceedings of Fall Simulation Interoperability Workshop. Orlando, USA

    Google Scholar 

  • Wooldridge M, Jennings NR (1995) Intelligent agents: Theory and practice. Knowl Eng Rev 10:115-152

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Schumacher, J., Rieder, M., Gschweidl, M., Masser, P. (2011). Intelligent Cargo – Using Internet of Things Concepts to Provide High Interoperability for Logistics Systems. In: Uckelmann, D., Harrison, M., Michahelles, F. (eds) Architecting the Internet of Things. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19157-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19157-2_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19156-5

  • Online ISBN: 978-3-642-19157-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics