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)


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.


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.


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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

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