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Conference Papers Year : 2018

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.
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Dates and versions

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

Identifiers

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

Cite

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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