Ontology-Based Modeling of Context-Aware Systems

  • Daniel Lüddecke
  • Nina Bergmann
  • Ina Schaefer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8767)


Context-aware systems aim to improve the interaction between a computer and a human being by using contextual information about the system itself, the user, and their environment. The number of relevant contextual information is expected to grow rapidly within the next years which tends to result in a complex, error-prone and hence, expensive task of programming context-aware systems. Model-based development can overcome these issues. Current approaches do not allow to model calculation of reliabilities and do not offer options to handle multiple sources of contextual information.

In this paper, we present an approach of modeling contextual information of a context-aware system using the example of a context-aware in-car infotainment system. In particular, we show how developers of context-aware in-car infotainment systems can model reliability calculations of contextual information and handling of multiple sources of contextual information by using a hybrid, ontology-based modeling technique.


Context-aware ontology infotainment modeling 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ablassmeier, M., Poitschke, T., Reifinger, S., Rigoll, G.: Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks. In: Smith, M.J., Salvendy, G. (eds.) HCII 2007. LNCS, vol. 4557, pp. 561–570. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  2. 2.
    Alt, F., Kern, D., Schulte, F., Pfleging, B., Shirazi, A.S., Schmidt, A.: Enabling Micro-Entertainment in Vehicles Based on Context Information. In: AutomotiveUI 2010: Proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 117–124. ACM (2010)Google Scholar
  3. 3.
    Bader, R.: Proactive Recommender Systems in Automotive Scenarios. PhD thesis, Technische Universität München (2013)Google Scholar
  4. 4.
    Baltrunas, L., Kaminskas, M., Ludwig, B., Moling, O., Ricci, F., Aydin, A., Lüke, K.-H., Schwaiger, R.: InCarMusic: Context-Aware Music Recommendations in a Car. In: Huemer, C., Setzer, T. (eds.) EC-Web 2011. LNBIP, vol. 85, pp. 89–100. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  5. 5.
    Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing 6(2), 161–180 (2010)CrossRefGoogle Scholar
  6. 6.
    Chen, H., Finin, T., Joshi, A.: An Ontology for Context-aware Pervasive Computing Environments. The Knowledge Engineering Review 18(03), 197–207 (2003)CrossRefGoogle Scholar
  7. 7.
    Fuchs, S., Rass, S., Lamprecht, B., Kyamakya, K.: A Model for Ontology-based Scene Description for Context-aware Driver Assistance Systems. In: Ambi-Sys 2008: Proceedings of the 1st International Conference on Ambient Media and Systems. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2008)Google Scholar
  8. 8.
    Gringoleit, F.: Context Modeling for Dynamic Configuration of Automotive Functions. Master thesis, Technische Universität München (2012)Google Scholar
  9. 9.
    Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An Ontology-based Context Model in Intelligent Environments. In: Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS 2004), pp. 270–254 (2004)Google Scholar
  10. 10.
    Hoch, S.: Kontextmanagement und Wissensanalyse im kognitiven Automobil der Zukunft. PhD thesis, Technische Universität München (2009)Google Scholar
  11. 11.
    Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: A Semantic Web Rule Language Combining OWL and RuleML,
  12. 12.
    Kannan, S., Thangavelu, A., Kalivaradhan., R.: An Intelligent Driver Assistance System (I-DAS) for Vehicle Safety Modelling using Ontology Approach. International Journal of UbiComp. 1(3), 15–29 (2010)CrossRefGoogle Scholar
  13. 13.
    Kruse, R., Gebhardt, J., Klawonn, F.: Fuzzy-Systeme. Teubner, Stuttgart (1995)Google Scholar
  14. 14.
    Madkour, M., Maach, A.: Ontology-based Context Modeling for Vehicle Context-aware Services. Journal of Theoretical and Applied Information Technology 34(2), 158–166 (2011)Google Scholar
  15. 15.
    Motik, B., Patel-Schneider, P.F., Parsia, B.: OWL 2 Web Ontology Language: Structural Specification and Functional-Style Syntax, 2nd edn.,
  16. 16.
    Münter, D., Kötteritzsch, A., Linder, T., Hofmann, J., Hussein, T., Ziegler, J.: Einflussfaktoren für eine situationsgerechte Navigationsunterstützung im Fahrzeug. In: Reiterer, H., Deussen, O. (eds.) Mensch & Computer 2012, pp. 163–172. Oldenbourg (2012)Google Scholar
  17. 17.
    Park, H.-S., Yoo, J.-O., Cho, S.-B.: A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 970–979. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  18. 18.
    Rodriguez Garzon, S., Poguntke, M.: The Personal Adaptive In-Car HMI: Integration of External Applications for Personalized Use. In: Ardissono, L., Kuflik, T. (eds.) UMAP Workshops 2011. LNCS, vol. 7138, pp. 35–46. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  19. 19.
    Rodzina, L., Kristoffersen, S.: Context-Dependent Car Navigation as Kind of Human-Machine Collaborative Interaction. In: CTS 2013: International Conference on Collaboration Technologies and Systems, pp. 253–259. IEEE (2013)Google Scholar
  20. 20.
    Schäuffele, J., Zurawka, T.: Automotive Software Engineering, 5th edn. Springer Vieweg (2013)Google Scholar
  21. 21.
    Strang, T., Linnhoff-Popien, C.: A Context Modeling Survey. In: UbiComp 2004: 6th International Conference on Ubiquitous Computing. Workshop on Advanced Context Modelling, Reasoning and Management. LNCS, vol. 3205. Springer, Heidelberg (2004)Google Scholar
  22. 22.
    Sun, J., Wu, Z., Pan, G.: Context-aware smart car: from model to prototype. Journal of Zhejiang University Science A 10(7), 1049–1059 (2009)CrossRefGoogle Scholar
  23. 23.
    Tönnis, M., Fischer, J.G., Klinker, G.: From Sensors to Assisted Driving - Bridging the Gap. Journal of Software 3(3), 71–82 (2008)CrossRefGoogle Scholar
  24. 24.
    Winner, H., Hakuli, S., Wolf, G.: Handbuch Fahrerassistenzsysteme: Grundlagen, Komponenten und Systeme für aktive Sicherheit und Komfort, 1st edn. Vieweg+Teubner (2009)Google Scholar
  25. 25.
    Wu, Z., Wu, Q., Cheng, H., Pan, G., Zhao, M., Sun, J.: ScudWare: A Semantic and Adaptive Middleware Platform for Smart Vehicle Space. IEEE Transactions on Intelligent Transportation Systems 8(1), 121–132 (2007)CrossRefGoogle Scholar
  26. 26.
    Zhang, D.Q., Wang, X.H., Hackbarth, K.: OSGi Based Service Infrastructure for Context Aware Automotive Telematics. In: VTC 2004: 59th IEEE Vehicular Technology Conference, vol. 5, pp. 2957–2961. IEEE (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Daniel Lüddecke
    • 1
  • Nina Bergmann
    • 1
  • Ina Schaefer
    • 2
  1. 1.Volkswagen AG, Group ResearchWolfsburgGermany
  2. 2.Technische Universität BraunschweigBraunschweigGermany

Personalised recommendations