Matching Cyber Security Ontologies through Genetic Algorithm-Based Ontology Alignment Technique

Table 1

Comparison on OAEI’s bibliographic track in terms of recall and precision.

Matching system	1XX		2XX
	Precision	Recall	Precision	Recall
Edna	0.64	1.00	0.62	0.84
LogMap	0.94	0.96	0.90	0.81
LogMapLt	0.56	0.99	0.53	0.83
LogMapBio	0.50	0.56	0.52	0.65
GMap	0.97	1.00	0.88	0.85
LogMap-C	0.58	0.96	0.57	0.81
Mamba	0.90	0.84	0.79	0.76
AOT 2014	0.97	0.97	0.93	0.83
OReasoner	0.87	1.00	0.74	0.84
CIDER-CL	1.00	1.00	0.78	0.91
HerTUDA	0.89	1.00	0.90	0.85
MapSSS	0.89	0.34	0.87	0.27
RIMOM 2013	0.84	1.00	0.63	0.88
ServOMap	0.95	1.00	0.67	0.56
StringsAuto	0.89	0.34	0.87	0.27
Synthesis	0.94	1.00	0.81	0.86
XMapGen	0.84	1.00	0.67	0.78
XMapSig	0.84	1.00	0.70	0.84
ASE	0.58	1.00	0.61	0.85
GOMMA	0.84	1.00	0.70	0.87
MEDLEY	0.72	1.00	0.68	0.84
Optima	1.00	1.00	0.85	0.83
ServOMap	1.00	0.98	0.91	0.76
ServOMaplt	1.00	0.28	1.00	0.45
WMatch	0.84	1.00	0.73	0.85
GA	1.00	1.00	0.95	0.85