Dealing with Matching Variability of Semantic Web Data Using Contexts

  • Silvana Castano
  • Alfio Ferrara
  • Stefano Montanelli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6051)


Goal of this paper is to propose a reference modeling framework to explicitly identify and formalize the different levels of variability that can arise along all the involved dimensions of a matching execution. The proposed framework is based on the notion of knowledge chunk, context, and mapping to abstract the variability levels and related operations along the source-dataset, the matching-dataset, and the mapping-set dimensions, respectively. An application of the proposed framework with instantiation in the HMatch 2.0 systems is illustrated.


Variability modeling matching semantic web knowledge management 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Silvana Castano
    • 1
  • Alfio Ferrara
    • 1
  • Stefano Montanelli
    • 1
  1. 1.Università degli Studi di Milano, DICoMilanoItaly

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