Dimensions of Dataspaces

  • Authors:

  • Cornelia Hedeler;Khalid Belhajjame;Alvaro A. Fernandes;Suzanne M. Embury;Norman W. Paton

  • Affiliations:

  • School of Computer Science, The University of Manchester, Manchester, UK M13 9PL;School of Computer Science, The University of Manchester, Manchester, UK M13 9PL;School of Computer Science, The University of Manchester, Manchester, UK M13 9PL;School of Computer Science, The University of Manchester, Manchester, UK M13 9PL;School of Computer Science, The University of Manchester, Manchester, UK M13 9PL

  • Venue:
  • BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier
  • Year:
  • 2009

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Abstract

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.