Dimensions of Dataspaces

  • Cornelia Hedeler
  • Khalid Belhajjame
  • Alvaro A. A. Fernandes
  • Suzanne M. Embury
  • Norman W. Paton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5588)


The vision of dataspaces has been articulated as providing various of the benefits of classical data integration, but with reduced up-front costs, combined with opportunities for incremental refinement, enabling a “pay as you go” approach. However, results that seek to realise the vision exhibit considerable variety in their contexts, priorities and techniques, to the extent that the definitional characteristics of dataspaces are not necessarily becoming clearer over time. With a view to clarifying the key concepts in the area, encouraging the use of consistent terminology, and enabling systematic comparison of proposals, this paper defines a collection of dimensions that capture both the components that a dataspace management system may contain and the lifecycle it may support, and uses these dimensions to characterise representative proposals.


Data Integration Data Resource User Feedback Query Evaluation Union Schema 
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 2009

Authors and Affiliations

  • Cornelia Hedeler
    • 1
  • Khalid Belhajjame
    • 1
  • Alvaro A. A. Fernandes
    • 1
  • Suzanne M. Embury
    • 1
  • Norman W. Paton
    • 1
  1. 1.School of Computer ScienceThe University of ManchesterManchesterUK

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