Advertisement

An Architecture and a Prototype for Querying and Visualising Recorded Context Information

  • Erqiang Zhou
  • Bing Wu
  • Jianfeng Wu
  • Yi Ding
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6967)

Abstract

This paper presents an architecture and a prototype for querying and visualising context information. The COINS modelling approach is employed to define and record the target information and its context information of an application domain. Two querying methods are provided for retrieving the recorded information: 1) natural language query which targets at physical context information and; 2) visual query environment which aims at logical context information. A knowledge representation model, master dictionary, is employed to facilitate the analyses of natural language queries. A prototype system based on the puzzle game Sudoku is used to illustrate the visual querying method, which integrates a replaying mechanism for the recorded context information.

Keywords

Context Information Recommender System Prototype System Target Information Focus Cell 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 217–253. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  2. 2.
    Bai, J., Nie, J., Cao, G., Bouchard, H.: Using query contexts in information retrieval. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 15–22. ACM, New York (2007)Google Scholar
  3. 3.
    Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. Int. J. Ad Hoc Ubiquitous Comput. 2, 263–277 (2007)CrossRefGoogle Scholar
  4. 4.
    Choi, O., Yoon, Y.: A meta data model of context information for dynamic service adaptation on user centric environment. In: International Conference on Multimedia and Ubiquitous Engineering, pp. 108–113 (2007)Google Scholar
  5. 5.
    Choujaa, D., Dulay, N.: Using screenplays as a source of context data. In: Proceeding of the 2nd ACM International Workshop on Story Representation, Mechanism and Context, pp. 13–20. ACM, New York (2008)Google Scholar
  6. 6.
    Dey, A.K.: Understanding and using context. Personal Ubiquitous Comput. 5, 4–7 (2001)CrossRefGoogle Scholar
  7. 7.
    Finkelstein, L., Gabrilovich, E., Matias, Y., Rivlin, E., Solan, Z., Wolfman, G., Ruppin, E.: Placing search in context: the concept revisited. In: Proceedings of the 10th International Conference on World Wide Web, pp. 406–414. ACM, New York (2001)Google Scholar
  8. 8.
    Henricksen, K., Indulska, J.: Modelling and using imperfect context information. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, pp. 33–37. IEEE, Los Alamitos (2004)CrossRefGoogle Scholar
  9. 9.
    Holmes, R., Murphy, G.C.: Using structural context to recommend source code examples. In: Proceedings of the 27th International Conference on Software Engineering, pp. 117–125. ACM, New York (2005)Google Scholar
  10. 10.
    Lim, B.Y., Dey, A.K., Avrahami, D.: Why and why not explanations improve the intelligibility of context-aware intelligent systems. In: Proceedings of the 27th International Conference on Human Factors in Computing Systems, pp. 2119–2128. ACM, New York (2009)Google Scholar
  11. 11.
    Sondhi, P., Chandrasekar, R., Rounthwaite, R.: Using query context models to construct topical search engines. In: Proceeding of the Third Symposium on Information Interaction in Context, pp. 75–84. ACM, New York (2010)CrossRefGoogle Scholar
  12. 12.
    Zhou, E., Wu, B., Ding, Y., Wu, J.: Coins: A modelling approach for recording & replaying complex information. In: Proceedings of the IADIS International Conference Information Systems 2011, Avila, Spain, pp. 37–44 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Erqiang Zhou
    • 1
  • Bing Wu
    • 1
  • Jianfeng Wu
    • 1
  • Yi Ding
    • 1
  1. 1.School of ComputingDublin Institute of TechnologyDublin 8Ireland

Personalised recommendations