Research Article
Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm
Table 3
Comparison among W2V-OM and the state-of-the-art ontology matchers.
| | Alignment task | Ontology alignment metrics | WordNet-based matcher | SF-based matcher | Jaro-Winkler-based matcher | Levenshtein-based matcher | W2V-OM |
| | SOSA-SN | Recall | 1.00 | 0.07 | 1.00 | 1.00 | 1.00 | | Precision | 0.33 | 0.13 | 0.75 | 0.75 | 1.00 | | f-measure | 0.50 | 1.00 | 0.86 | 0.86 | 1.00 |
| | SOSA-OSSN | Recall | 1.00 | 0.50 | 1.00 | 1.00 | 1.00 | | Precision | 0.67 | 0.20 | 1.00 | 1.00 | 1.00 | | f-measure | 0.80 | 0.29 | 1.00 | 1.00 | 1.00 |
| | SSN-OSSN | Recall | 0.97 | 0.35 | 1.00 | 1.00 | 1.00 | | Precision | 0.80 | 0.06 | 0.94 | 1.00 | 1.00 | | f-measure | 0.88 | 0.11 | 0.97 | 1.00 | 1.00 |
| | SSN-SN | Recall | 1.00 | 0.56 | 1.00 | 1.00 | 1.00 | | Precision | 0.52 | 0.02 | 0.90 | 1.00 | 1.00 | | f-measure | 0.70 | 0.04 | 0.95 | 1.00 | 1.00 |
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