A context-aware preference model for database querying in an Ambient Intelligent environment

A.H. van Bunningen, L. Feng, Peter M.G. Apers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

26 Citations (Scopus)


Users' preferences have traditionally been exploited in query personalization to better serve their information needs. With the emerging ubiquitous computing technologies, users will be situated in an Ambient Intelligent (AmI) environment, where users' database access will not occur at a single location in a single context as in the traditional stationary desktop computing, but rather span a multitude of contexts like office, home, hotel, plane, etc. To deliver personalized query answering in this environment, the need for context-aware query preferences arises accordingly. In this paper, we propose a knowledge-based context-aware query preference model, which can cater for both \emph{pull} and \emph{push} queries. We analyze requirements and challenges that AmI poses upon such a model and discuss the interpretation of the model in the domain of relational databases. We implant the model on top of a traditional DBMS to demonstrate the applicability and feasibility of our approach.
Original languageUndefined
Title of host publicationProceedings of the 17th International Conference on Database and Expert Systems Applications (DEXA 2006)
Place of PublicationBerlin
Number of pages11
ISBN (Print)978-3-540-37871-6
Publication statusPublished - 4 Sep 2006
Event17th International Conference on Database and Expert Systems Applications, DEXA 2006 - Cracow College, Krakow, Poland
Duration: 4 Sep 20068 Sep 2006
Conference number: 17

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Database and Expert Systems Applications, DEXA 2006
Abbreviated titleDEXA 2006
Internet address


  • IR-63694
  • METIS-238713
  • EWI-8170

Cite this