History-Driven View Synchronization

  • Authors:
  • Andreas Koeller;Elke A. Rundensteiner

  • Affiliations:
  • -;-

  • Venue:
  • DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
  • Year:
  • 2000

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Abstract

Views over distributed information sources rely on the stability of the schemas of these underlying sources. In the event of meta data changes in the sources, such as the deletion of a table or column, such views may become undefined. Using meta data about information redundancy and user preferences, views can be evolved as necessary to be defined on a modified information space after a source meta data change, while assuring the best possible compliance to preferences that users may have. Previous work in view synchronization focused only on deletions of schema elements. We now offer the first approach that makes use of additions also. The algorithm is based partly on returning view definitions to previous versions by "backtracking" in the history of views and meta data. This technology enables us to adapt views to temporary meta data changes by cancelling out opposite changes and allows undo/redo-operations on meta data without deteriorating the quality of the view. The mechanism described in this paper will therefore improve the quality of evolved views.