Skip to Main content Skip to Navigation
Conference papers

OAEI 2018 results of POMap++

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Friday, July 12, 2019 - 2:53:41 PM
Last modification on : Thursday, March 18, 2021 - 2:18:46 PM


Files produced by the author(s)


  • HAL Id : hal-02181946, version 1
  • OATAO : 22563


Amir Laadhar, Faiza Ghozzi, Imen Megdiche Bousarsar, 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⟩



Record views


Files downloads