Name
Abstract | ||
|---|---|---|
Ontology matching is the process of finding a set of corre-spondences between the entities of two or more ontologies representing asimilar domain. POMap++ is an ontology matching system associatingontology partitioning to the machine learning techniques. This associ-ation delivers a local matching learning. POMap++ provides an auto-mated local matching learning for the biomedical tracks. For the non-biomedical tracks we employ the version of POMap 2017. In this paper,we present POMap++ as well as the obtained results for the OntologyAlignment Evaluation Initiative of 2018. |
Year | Venue | Field |
|---|---|---|
2018 | OM@ISWC | Ontology (information science),Ontology alignment,Information retrieval,Computer science,Semantic Web,Local matching |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Laadhar | 1 | 0 | 2.70 |
| Faïza Ghozzi | 2 | 11 | 8.61 |
| Imen Megdiche | 3 | 24 | 8.87 |
| Franck Ravat | 4 | 311 | 49.05 |
| Olivier Teste | 5 | 326 | 60.56 |
| Faïez Gargouri | 6 | 244 | 92.29 |