Using Competitive Binary Particle Swarm Optimization Algorithm for Matching Sensor Ontologies

Table 1

Comparison among swarm intelligence-based sensor ontology matching techniques in terms of alignment’s quality. 1XX, 2XX, and 3XX refer to those starting with number 1, 2, and 3, respectively, and the symbols , , and , respectively, stand for f-measure, recall, and precision.

Testing case	cEA	ETSA	cFA	DE	SA-PSO	CBPSO
	1XX	1.00 (1.00, 1.00)	0.81 (0.72, 0.90)	0.95 (0.94, 0.95)	1.00 (1.00, 1.00)	1.00 (1.00, 1.00)	1.00 (1.00, 1.00)
2XX	0.92 (0.91, 0.93)	0.72 (0.84, 0.61)	0.82 (0.79, 0.86)	0.91 (0.88, 0.94)	0.73 (0.72,0.74)	0.96 (0.96, 0.96)
3XX	0.78 (0.81, 0.74)	0.42 (0.37, 0.48)	0.71 (0.67, 0.77)	0.89 (0.85, 0.94)	0.82 (0.85, 0.79)	0.93 (0.91, 0.95)
MMI-SSN	0.90 (0.86, 0.94)	0.92 (0.90, 0.95)	0.92 (0.90, 0.95)	0.94 (0.92, 0.95)	0.88 (0.90, 0.87)	0.96 (0.94, 0.97)
CSIRO-SSN	0.92(0.89, 0.95)	0.94 (0.94, 0.95)	0.94 (0.94, 0.94)	0.94 (0.94, 0.95)	0.90 (0.88, 0.93)	0.96 (0.95, 0.96)
MMI-CSIRO	0.86 (0.88, 0.91)	0.90 (0.87, 0.94)	0.90 (0.87, 0.94)	0.92 (0.90, 0.93)	0.90 (0.87,0.94)	0.93 (0.94, 0.93)
Average	0.89 (0.88, 0.92)	0.78 (0.77, 0.80)	0.87 (0.85, 0.90)	0.93 (0.91, 0.95)	0.87 (0.87, 0.87)	0.96 (0.95, 0.96)