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Benchmarking Matching Applications on the Semantic Web

  • Alfio Ferrara
  • Stefano Montanelli
  • Jan Noessner
  • Heiner Stuckenschmidt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6644)

Abstract

The evaluation of matching applications is becoming a major issue in the semantic web and it requires a suitable methodological approach as well as appropriate benchmarks. In particular, in order to evaluate a matching application under different experimental conditions, it is crucial to provide a test dataset characterized by a controlled variety of different heterogeneities among data that rarely occurs in real data repositories. In this paper, we propose SWING (Semantic Web INstance Generation), a disciplined approach to the semi-automatic generation of benchmarks to be used for the evaluation of matching applications.

Keywords

Object Property Ontology Match Inverse Property Reference Ontology Individual Description 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alfio Ferrara
    • 1
  • Stefano Montanelli
    • 1
  • Jan Noessner
    • 2
  • Heiner Stuckenschmidt
    • 2
  1. 1.Università degli Studi di MilanoMilanoItaly
  2. 2.KR & KM Research GroupUniversity of Mannheim, B6 26MannheimGermany

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