Ontology optimization tactics via distance calculating

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Tab_ 4_ The Experiment Results of Ontology Mapping

	P@1 average precision ratio	P@3 average precision ratio	P@5 average precision ratio
Our Algorithm	0.6913	0.7556	0.9161
Algorithm in [13]	0.6129	0.7312	0.7935
Algorithm in [14]	0.6913	0.7556	0.8452
Algorithm in [26]	0.6774	0.7742	0.8968

Tab_ 2_ The Experiment Results of Ontology Mapping

	P@1 average precision ratio	P@3 average precision ratio	P@5 average precision ratio
Our Algorithm	0.2778	0.5000	0.7667
Algorithm in [24]	0.2778	0.4815	0.5444
Algorithm in [13]	0.2222	0.4074	0.4889
Algorithm in [14]	0.2778	0.4630	0.5333

Tab_ 1_The Experiment Results of Ontology Similarity measure

	P@3 average precision ratio	P@5 average precision ratio	P@10 average precision ratio
Our Algorithm	0.5358	0.6517	0.8821
Algorithm in [12]	0.4549	0.5117	0.5859
Algorithm in [13]	0.4282	0.4849	0.5632
Algorithm in [14]	0.4831	0.5635	0.6871

Tab_ 3_ The Experiment Results of Ontology Similarity measure

	P@3 average precision ratio	P@5 average precision ratio	P@10 average precision ratio	P@20 average precision ratio
Our Algorithm	0.4987	0.6364	0.7602	0.8546
Algorithm in [13]	0.4638	0.5348	0.6234	0.7459
Algorithm in [14]	0.4356	0.4938	0.5647	0.7194
Algorithm in [25]	0.4213	0.5183	0.6019	0.7239

Tab_ 5_ The Experiment Results of Ontology Mapping

	P@1 average precision ratio	P@3 average precision ratio	P@5 average precision ratio
Our Algorithm	0.5714	0.6786	0.7714
Algorithm in [12]	0.5000	0.5952	0.6857
Algorithm in [13]	0.4286	0.5238	0.6071
Algorithm in [14]	0.5714	0.6429	0.6500