Skip to main content

Advertisement

Log in

Semantische Technologien für Produktionsprozessinnovationen in der Landwirtschaft

Ontologies and semantic services for process optimization in agricultural production

  • Originalarbeiten
  • Published:
e & i Elektrotechnik und Informationstechnik Aims and scope Submit manuscript

Zusammenfassung

Um die Effizienz von Produktionsprozessen ständig zu verbessern, müssen landwirtschaftliche Betriebe heutzutage befähigt sein, neuartige Geräte sowie Verfahren kontinuierlich, flexibel und in kurzer Zeit in das existierende System zu integrieren. Die Semantischen und Web-Service-Technologien bieten die notwendige Flexibilität zur Gestaltung der Produktionsprozesse und deren Optimierung in Bezug auf Ressourcenschonung etc. Am Beispiel der semantischen Diagnose, welche heterogene Sensorinformationen nutzt, zeigt dieser Beitrag, wie semantische Technologien im Rahmen der praktischen Anwendung ”Milchwirtschaft“ nutzbringend zum Einsatz gebracht werden können.

Abstract

Optimization of production processes in agriculture requires that innovation in form of efficiency enhancing devices is being continuously introduced and integrated within the production environments. This paper describes how semantic modelling, web services and automatic logical reasoning are used as system enablers for such value-adding integration in implementation of semantic-based diagnoses supporting optimization of milk production processes of dairy farms.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Abb. 1.

Literatur

  1. ISO17532 (2009): Stationary equipment for agriculture – data communications network for livestock farming. Genf: Beuth Verlag.

    Google Scholar 

  2. Fensel, D. (2011): Foundations for the web of information and services: a review of 20 years of semantic web research. Berlin: Springer.

    Book  Google Scholar 

  3. World Wide Web Consortium (2013): Semantic web. http://www.w3.org/standards/semanticweb/. Last accessed: December 24, 2013.

  4. World Wide Web Consortium (2014): OWL 2 web ontology language primer (second edition) W3C recommendation, 11 December 2012. http://www.w3.org/TR/2012/REC-owl2-primer-20121211. Last accessed: May 15, 2014.

  5. Mishra, R. B., Kumar, S. (2011): Semantic web reasoners and languages. Artif. Intell. Rev., 35(4), 339–368.

    Article  Google Scholar 

  6. World Wide Web Consortium (2004), SWRL: a semantic web rule language combining OWL and RuleML, W3C member submission 21 May 2004.

  7. World Wide Web Consortium (2014), SPARQL 1.1. http://www.w3.org/TR/sparql11-overview/. Last accessed: May 15, 2014.

  8. Athanasiadis, I.N., Rizzoli, A.E., Janssen, S., Andersen, E., Villa, F. (2009): Ontology for seamless integration of agricultural data and models. In Metadata and semantic research – proceeding of third international conference, MTSR 2009, Milan, Italy, October 1–2 (S. 282–293).

    Google Scholar 

  9. Ernährungs- und Landwirtschaftsorganisation der Vereinten Nationen (FAO), AGROVOC, aims.fao.org.

  10. Cardoso, J. (2007): Semantic web services: theory, tools and applications. New York, NY, USA: Information Science Reference. ISBN:978-1-59904-045-5

    Book  Google Scholar 

  11. Fielding, R. (2000): Architectural styles and the design of network-based software architectures. Ph.D. dissertation. http://www.ics.uci.edu/~fielding/pubs/dissertation/top.htm.

  12. Wilkinson, M. D., McCarthy, E. L., Vandervalk, B. P., Withers, D., Kawas, E. A., Samadian, S. (2010): SADI, SHARE, and the in silico scientific method. BMC Bioinform., 11(12), 57.

    Google Scholar 

  13. Protégé editor, http://protege.stanford.edu/last. Accessed: September 2014.

Download references

Danksagung

Diese Arbeit wird im Rahmen des Projekts „agriOpenLink“ im Programm IKT der Zukunft – Intelligent Produktion – von der Österreichischen Forschungs-Förderungs-Gesellschaft (FFG) gefördert.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Slobodanka Dana Kathrin Tomic.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tomic, S.D.K., Drenjanac, D., Lazendic, G. et al. Semantische Technologien für Produktionsprozessinnovationen in der Landwirtschaft. Elektrotech. Inftech. 131, 223–229 (2014). https://doi.org/10.1007/s00502-014-0227-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00502-014-0227-8

Schlüsselwörter

Keywords

Navigation