An architecture and a prototype for querying and visualising recorded context information

  • Authors:
  • Erqiang Zhou;Bing Wu;Jianfeng Wu;Yi Ding

  • Affiliations:
  • School of Computing, Dublin Institute of Technology, Dublin 8, Ireland;School of Computing, Dublin Institute of Technology, Dublin 8, Ireland;School of Computing, Dublin Institute of Technology, Dublin 8, Ireland;School of Computing, Dublin Institute of Technology, Dublin 8, Ireland

  • Venue:
  • CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
  • Year:
  • 2011

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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.