Research Article
Integrating Sensor Ontologies with Global and Local Alignment Extractions
Table 2
Comparison on two pairs of real sensor ontologies with four matchers.
| | Matching task | Ontology quality measure | SF-based matcher | Jaro-Winkler-based matcher | WordNet-based matcher | Levenshtein-based matcher | Our approach |
| | SOSA-OSSN | | 0.50 | 1.00 | 1.00 | 1.00 | 1.00 | | 0.20 | 1.00 | 0.67 | 1.00 | 1.00 | | 0.29 | 1.00 | 0.80 | 1.00 | 1.00 | | SOSA-SN | | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | 0.07 | 0.75 | 0.33 | 0.75 | 1.00 | | 0.13 | 0.86 | 0.50 | 0.86 | 1.00 | | SSN-IoT | | 1.00 | 1.00 | 1.0 | 1.00 | 1.00 | | 0.01 | 1.00 | 0.33 | 1.00 | 1.00 | | 0.03 | 1.00 | 0.50 | 1.00 | 1.00 | | SSN-OSSN | | 0.35 | 1.00 | 0.97 | 1.00 | 0.97 | | 0.06 | 0.94 | 0.80 | 1.00 | 1.00 | | 0.11 | 0.97 | 0.88 | 1.00 | 0.98 | | SSN-SN | | 0.56 | 1.00 | 1.00 | 1.00 | 1.00 | | 0.02 | 0.90 | 0.52 | 1.00 | 1.00 | | 0.04 | 0.95 | 0.70 | 1.00 | 1.00 |
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