Ontology matching evaluation: A statistical perspective

M. Mohammadi, Wout Hofman, Yao Hua Tan

Research output: Contribution to conferencePosterScientific

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This paper proposes statistical approaches to test if the difference between two ontology matchers is real. Specifically, the performances of the matchers over multiple data sets are obtained and based on their performances, the conclusion can be drawn whether one method is better than one another or not. To do so, the paired t-test and Wilcoxon signed rank test are proposed and the comparisons over six recently proposed methods are reported.

Original languageEnglish
Number of pages2
Publication statusPublished - 2016
EventThe Eleventh International Workshop on Ontology Matching: collocated with the 15th International Semantic Web Conference - Kobe, Japan
Duration: 18 Oct 2016 → …
Conference number: 11


ConferenceThe Eleventh International Workshop on Ontology Matching
Abbreviated titleOM-2016
Period18/10/16 → …
Internet address


  • Evaluation
  • Ontology alignment
  • Paired t-test
  • Statistical inference
  • Wilcoxon signed rank test


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