Advanced Information Systems Engineering

Volume 6051 of the series Lecture Notes in Computer Science pp 194-208

Dealing with Matching Variability of Semantic Web Data Using Contexts

  • Silvana CastanoAffiliated withUniversità degli Studi di Milano, DICo
  • , Alfio FerraraAffiliated withUniversità degli Studi di Milano, DICo
  • , Stefano MontanelliAffiliated withUniversità degli Studi di Milano, DICo

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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