A Semantics-Based Dialogue for Interoperability of User-Adaptive Systems in a Ubiquitous Environment

  • Federica Cena
  • Lora M. Aroyo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)


In this paper we present an approach to enable interoperability of user-adaptive systems (UASs) in a ubiquitous environment. We model the interactions between systems as a semantics-based dialogue for exchanging user model and context data. We focus on the user data clarification and negotiation tasks, and show how semantics enables, on the one hand, the understanding among user-adaptive systems in a distributed ubiquitous setting, and on the other hand indirectly improves their effectiveness in producing end user results. We deploy and evaluate our approach in the UbiquiTO mobile adaptive tourist guide.


Dialogue Game Ubiquitous Environment Informative Factor Negotiation Task Awareness Requirement 
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  1. 1.
    Ardissono, L., Petrone, G., Segnan, M.: A conversational approach to the interaction with web services, Computational intelligence, 20(4) (2004)Google Scholar
  2. 2.
    Aroyo, L., Denaux, R., Dimitrova, V., Pye, M.: Interactive Ontology-Based User Knowledge Acquisition: A Case Study, in the proceedings of UM, workshop (2005)Google Scholar
  3. 3.
    Benatallah, B., Casasti, F., Toumani, F., Hamadi, R.: Conceptual Modeling of web service Conversations. In: Eder, J., Missikoff, M. (eds.) CAiSE 2003. LNCS, vol. 2681, Springer, Heidelberg (2003)Google Scholar
  4. 4.
    Cena, F.: The role of semantic dialogue for adaptation in ubiquitous environment. PhD dissertation, Turin University (2007)Google Scholar
  5. 5.
    Cena, F., Torre, I.: Adapting the Interaction in a Call Centre Interacting with Computers, Interacting with Computers, May 2006, vol. 18(3). Elsevier, Amsterdam (2006)Google Scholar
  6. 6.
    Cena, F., et al.: Integrating heterogeneous adaptation techniques to build a flexible and usable mobile tourist guide. AICommunication 19(4), 301–400 (2006)MathSciNetGoogle Scholar
  7. 7.
    Carmagnola, F., Cena, F.: From Interoperable User Model to Interoperable User Modeling. In: Wade, V., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 20–23. Springer, Heidelberg (2006)Google Scholar
  8. 8.
    Dimitrova, V.: Interactive Open Learner Modelling, Leeds University (2001)Google Scholar
  9. 9.
    Kobsa, A.: Generic user modeling systems. UMUAI 11(1-2), 49–63 (2001)zbMATHGoogle Scholar
  10. 10.
    Levin, J., Moore, J.: Dialogue games: meta-communication structures for natural language interaction. Cognitive Science 1(4), 395–420 (2000)CrossRefGoogle Scholar
  11. 11.
    Searle, J.: What is a Speech Act. In: Giglioli, P. (ed.) Language and social context, pp. 136–154. Penguin Books Ltd, Harmoudsworth, MiddlesexGoogle Scholar
  12. 12.
    Vassileva, J., McCalla, G., Greer, J.: Multi-Agent Multi-User Modeling. User Modeling and User-Adaptive Interaction 13(1), 179–210 (2003)CrossRefGoogle Scholar
  13. 13.
    Vassileva, J.: Distributed user modeling for universal information access. HCI (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Federica Cena
    • 1
  • Lora M. Aroyo
    • 2
  1. 1.Department of Computer Science – University of TurinItaly
  2. 2.Department of Computer Science – Free University of AmsterdamThe Netherlands

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