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A Knowledge-Based Approach to Augment Applications with Interaction Traces

  • Olivier Curé
  • Yannick Prié
  • Pierre-Antoine Champin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7603)

Abstract

This paper presents a trace-based framework for assisting personalization and enrichment of end-user experience in an application. We propose a modular ontology-based architecture, to provide semantics for interaction traces, observed elements and their associated objects, and we extend existing inference services, with a declarative and generic approach, in order to reason with those interaction traces. We present the architecture of our framework and its reasoning levels, provide a proof of concept on a medical Web application, and emphasize that different kinds of actors can benefit from the supported inferences.

Keywords

User Model Description Logic Concept Description Query Answering Atomic Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Angeletou, S., Rowe, M., Alani, H.: Modelling and Analysis of User Behaviour in Online Communities. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 35–50. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  2. 2.
    Anicic, D., Fodor, P., Rudolph, S., Stojanovic, N.: EP-SPARQL: a unified language for event processing and stream reasoning. In: WWW, New York, NY, USA, pp. 635–644 (2011)Google Scholar
  3. 3.
    Artale, A., Franconi, E.: Temporal description logics. In: Fisher, M., et al. (eds.) Handbook of Temporal Reasoning in Artificial Intelligence, vol. 1, pp. 375–388. Elsevier (2005)Google Scholar
  4. 4.
    Baader, F., et al. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press (2003)Google Scholar
  5. 5.
    Baader, F., Brandt, S., Lutz, C.: Pushing the el envelope. In: IJCAI, pp. 364–369 (2005)Google Scholar
  6. 6.
    Champin, P.-A., Passant, A.: SIOC in Action – Representing the Dynamics of Online Communities. In: 6th Int. Conf. on Semantic Systems, I-SEMANTICS 2010, Graz, Austria (2010)Google Scholar
  7. 7.
    Groza, T., Handschuh, S., Müller, K.: The NEPOMUK project - on the way to the social semantic desktop, Graz, Austria (2007) (peer-reviewed)Google Scholar
  8. 8.
    Gutiérrez-Basulto, V., Jung, J.C., Lutz, C., Schröder, L.: A closer look at the probabilistic description logic prob-el. In: AAAI (2011)Google Scholar
  9. 9.
    Laflaquière, J., Settouti, L.S., Prié, Y., Mille, A.: A trace-based System Framework for Experience Management and Engineering. In: EME 2006 in Conjunction with KES 2006 (2006)Google Scholar
  10. 10.
    Smyth, B., Briggs, P., Coyle, M., O’Mahony, M.P.: A Case-Based Perspective on Social Web Search. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS, vol. 5650, pp. 494–508. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  11. 11.
    Sugiyama, K., Hatano, K., Yoshikawa, M.: Adaptive web search based on user profile constructed without any effort from users. In: WWW, New York, USA, pp. 675–684 (2004)Google Scholar
  12. 12.
    Tappolet, J., Bernstein, A.: Applied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 308–322. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  13. 13.
    Wexelblat, A.: History-rich tools for social navigation. In: CHI 1998 Conference Summary on Human Factors in Computing Systems, CHI 1998, New York, NY, USA, pp. 359–360 (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Olivier Curé
    • 1
  • Yannick Prié
    • 2
  • Pierre-Antoine Champin
    • 2
  1. 1.LIGM, CNRS UMR 8049Université Paris-EstFrance
  2. 2.LIRIS, CNRS UMR 5205Université Lyon 1France

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