OAEI 2018 results of POMap++

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.

Mots clés

Ontology partitioning Machine learning Ontology Matching Semantic web

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Apprentissage [cs.LG]

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laadhar_22563.pdf (477.11 Ko)

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https://hal.science/hal-02181946

Soumis le : vendredi 12 juillet 2019-14:53:41

Dernière modification le : jeudi 28 mars 2024-03:10:12

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hal-02181946 , version 1 (12-07-2019)

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HAL Id : hal-02181946 , version 1

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Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, et al.. OAEI 2018 results of POMap++. 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC 2018), Oct 2018, Monterey, CA, United States. pp.192-196. ⟨hal-02181946⟩

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