A Comparative Study of Ontology Matching Systems via Inferential Statistics

Majid Mohammadi, Wout Hofman, Yao-Hua Tan
2018 IEEE Transactions on Knowledge and Data Engineering  
You share, we take care!' -Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in Abstract-Ontology matching systems are typically compared by comparing their average performances over multiple datasets. However, this paper examines the alignment systems using statistical inference since averaging is statistically unsafe and inappropriate. The statistical tests for comparison of two or multiple alignment systems are theoretically and empirically reviewed.
more » ... irically reviewed. For comparison of two systems, the Wilcoxon signed-rank and McNemar's mid-p and asymptotic tests are recommended due to their robustness and statistical safety in different circumstances. The Friedman and Quade tests with their corresponding post-hoc procedures are studied for comparison of multiple systems, and their [dis]advantages are discussed. The statistical methods are then applied to benchmark and multifarm tracks from the ontology matching evaluation initiative (OAEI) 2015 and their results are reported and visualized by critical difference diagrams.
doi:10.1109/tkde.2018.2842019 fatcat:kuz53sphnvhyhigcw65akuo6ma