z-logo
open-access-imgOpen Access
A Comparative Study of Ontology Matching Systems via Inferential Statistics
Author(s) -
Majid Mohammadi,
Wout Hofman,
YaoHua Tan
Publication year - 2018
Publication title -
ieee transactions on knowledge and data engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.36
H-Index - 174
eISSN - 1558-2191
pISSN - 1041-4347
DOI - 10.1109/tkde.2018.2842019
Subject(s) - ontology alignment , computer science , mcnemar's test , robustness (evolution) , wilcoxon signed rank test , statistical hypothesis testing , data mining , statistical inference , granularity , matching (statistics) , inference , benchmark (surveying) , ontology , statistics , artificial intelligence , mathematics , ontology based data integration , biochemistry , chemistry , philosophy , geodesy , domain knowledge , epistemology , geography , gene , mann–whitney u test , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom