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Author (up) Caniupan, M.; Bravo, L.; Hurtado, C.A. pdf  doi
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  Title Repairing inconsistent dimensions in data warehouses Type
  Year 2012 Publication Data & Knowledge Engineering Abbreviated Journal Data Knowl. Eng.  
  Volume 79-80 Issue Pages 17-39  
  Keywords Data warehouses; Dimensions; Integrity constraints; Inconsistency; Datalog programs; Stable models  
  Abstract A dimension in a data warehouse (DW) is a set of elements connected by a hierarchical relationship. The elements are used to view summaries of data at different levels of abstraction. In order to support an efficient processing of such summaries, a dimension is usually required to satisfy different classes of integrity constraints. In scenarios where the constraints properly capture the semantics of the DW data, but they are not satisfied by the dimension, the problem of repairing (correcting) the dimension arises. In this paper, we study the problem of repairing a dimension in the context of two main classes of integrity constraints: strictness and covering constraints. We introduce the notion of minimal repair of a dimension: a new dimension that is consistent with respect to the set of integrity constraints, which is obtained by applying a minimal number of updates to the original dimension. We study the complexity of obtaining minimal repairs, and show how they can be characterized using Datalog programs with weak constraints under the stable model semantics. (c) 2012 Elsevier B.V. All rights reserved.  
  Address [Caniupan, Monica] Univ Bio Bio, Santiago, Chile, Email: mcaniupa@ubiobio.cl  
  Corporate Author Thesis  
  Publisher Elsevier Science Bv Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0169-023x ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000309083300002 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 243  
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