Putting Instance Matching to the Test: Is Instance Matching Ready for Reliable Data Linking?

  • Silviu Homoceanu
  • Jan-Christoph Kalo
  • Wolf-Tilo Balke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)


To extend the scope of retrieval and reasoning spanning several linked data stores, it is necessary to find out whether information in different collections actually points to the same real world object. Thus, data stores are interlinked through owl:sameAs relations. Unfortunately, this cross-linkage is not as extensive as one would hope. To remedy this problem, instance matching systems automatically discovering owl:sameAs links, have been proposed recently. According to results on existing benchmarks, such systems seem to have reached a convincing level of maturity. But the evaluations miss out on some important characteristics encountered in real-world data. To establish if instance matching systems are really ready for real-world data interlinking, we analyzed the main challenges of instance matching. We built a representative data set that emphasizes these challenges and evaluated the global quality of instance matching systems on the example of a top performer from last year’s Instance Matching track organized by the Ontology Alignment Evaluation Initiative (OAEI).


Instance matching owl:sameAs link discovery linked data 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Silviu Homoceanu
    • 1
  • Jan-Christoph Kalo
    • 1
  • Wolf-Tilo Balke
    • 1
  1. 1.IFIS TU BraunschweigBraunschweigGermany

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