Title
Ontology matching evaluation: A statistical perspective
Author
Mohammadi, M.
Hofman, W.J.
Tan, Y.H.
Contributor
Jimenez-Ruiz, E. (editor)
Hassanzadeh, O. (editor)
Cheatham, M. (editor)
Shvaiko, P. (editor)
Euzenat, J. (editor)
Ichise, R. (editor)
Publication year
2016
Abstract
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. © 2016, CEUR-WS. All rights reserved.
Subject
ICT Urban Mobility & Environment
MNS - Media & Network Services STL - Sustainable Transport & Logistics
TS - Technical Sciences ELSS - Earth, Life and Social Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:ccc51534-18c3-48f9-8df1-d50ad0bb7fd1
TNO identifier
745349
Publisher
CEUR-WS
ISSN
1613-0073
Source
11th International Workshop on Ontology Matching, OM 2016. 18 October 2016, 1766, 231-232
Series
CEUR Workshop Proceedings
Document type
conference paper