Skip to main content

agriOpenLink: Towards Adaptive Agricultural Processes Enabled by Open Interfaces, Linked Data and Services

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 390))

Abstract

Today, users involved in agricultural production processes increasingly rely on advanced agricultural machines and specialized applications utilizing the latest advances in information and communication technology (ICT). Robots and machines host numerous specialized sensors and measurement devices and generate large amounts of data that combined with data coming from external sources, could provide a basis for better process understanding and process optimization. One serious roadblock to this vision is a lack of interoperability between the equipment of different vendors; another pitfall of current solutions is that the process knowledge is not modelled in a standardized machine readable form. On the other hand, such process model can be flexibly used to support process-specific integration of machines, and enable context-sensitive automatic process optimization. This paper presents an approach and preliminary results regarding architecture for adaptive optimization of agricultural processes via open interfaces, linked data and semantic services that is being developed within the project agriOpenLink; its goal is to provide a novel methodology and tools for semantic proces orchestraion and dynamic context-based adaptation, significantly reducing the effort needed to create new ICT-controlled agricultural applications involving machines and users.

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

Buying options

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 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Roussey, C., et al.: Ontologies in Agriculture. Ingénierie des Systèmes D’Information 16(3), 55–84 (2011)

    Article  Google Scholar 

  2. Goumopoulos, C., et al.: An Ontology-Driven System Architecture for Precision Agriculture Applications. International Journal of Metadata, Semantics and Ontologies (IJMSO), 72–84 (2009)

    Google Scholar 

  3. ISO17532: Stationary equipment for agriculture - Data communications network for live-stock farming. Beuth Verlag, Genf.

    Google Scholar 

  4. Fensel, D., et al.: Enabling Semantic Web Services: The Web Service Modeling Ontology. Springer (2006)

    Google Scholar 

  5. Roman, D., et al.: Web Service Modeling Ontology. Applied Ontology 1(1), 77–106 (2005)

    Google Scholar 

  6. de Bruijn, J., Lausen, H., Polleres, A., Fensel, D.: The web service modeling language WSML: An overview. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 590–604. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Vitvar, T., Kopecký, J., Viskova, J., Fensel, D.: WSMO-Lite Annotations for Web Services. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 674–689. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Verborgh, R., et al.: Efficient Runtime Service Discovery and Consumption with Hyperlinked RESTdesc. In: 7th International Conference on Next Generation Web Services Practices (2011)

    Google Scholar 

  9. Pedrinaci, C., et al.: Services and the Web of Data: An Unexploited Symbiosis. In: AAAI Spring Symposium (March 2010)

    Google Scholar 

  10. McCown, et al.: APSIM: A novel software system for model development, model testing and simulation in agricultural systems research. Agricultural Systems 50(3), 255–271 (1996)

    Article  Google Scholar 

  11. Ebadian, M., et al.: A new simulation model for multi-agricultural biomass logistics system in bioenergy production. Biosystems Engineering 110(3), 280–290 (2011)

    Article  Google Scholar 

  12. Alan, A.: A combined continuous - discrete FORTRAN-based simulation language. School of Industrial Engineering Purdue University Lafayette

    Google Scholar 

  13. Feldkamp, D., Singh, N.: Making BPEL flexible. Technical Report SS-08-01, Association for the Advancement of Artificial Intelligence (2008)

    Google Scholar 

  14. Passant, A., et al.: sparqlPuSH: Proactive notification of data updates in RDF stores using PubSubHubbub. In: 6th Workshop on Scripting and Development for the Semantic Web, Crete, Greece (May 2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tomic, S.D.K. et al. (2013). agriOpenLink: Towards Adaptive Agricultural Processes Enabled by Open Interfaces, Linked Data and Services. In: Garoufallou, E., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2013. Communications in Computer and Information Science, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-319-03437-9_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03437-9_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03436-2

  • Online ISBN: 978-3-319-03437-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics