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POMap++ results for OAEI 2019: fully automated machine learning approach for ontology matching

Laadhar, Amir and Ghozzi, Faïza and Megdiche Bousarsar, Imen and Ravat, Franck and Teste, Olivier and Gargouri, Faiez POMap++ results for OAEI 2019: fully automated machine learning approach for ontology matching. (2019) In: 14th International Workshop on Ontology Matching co-located with the International Semantic Web Conference (OM@ISWC 2019), 26 October 2019 (Auckland, New Zealand).

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Official URL: http://ceur-ws.org/Vol-2536/

Abstract

POMap++ is a novel ontology matching system based on a machine learning approach. This year is the second participation of POMap++ in the Ontology Alignment Evaluation Initiative (OAEI). POMap++ follows a fully automated local matching learning approach that breaks down a large ontology matching task into a set of independent local sub-matching tasks. This approach integrates a novel partitioning algorithm as well as a set of matching learning techniques. POMap++ provides an automated local matching learning for the biomedical tracks. In this paper, we present POMap++ as well as the obtained results for the Ontology Alignment Evaluation Initiative of 2019.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to CEUR editor, a free open-access publication service of Sun SITE Central Europe operated under the umbrella of RWTH Aachen University. This paper appears in vol 2536 Ceur Workshop Proceedings ISSN : 1613-0073 The definitive version is available at http://ceur-ws.org/Vol-2536/
HAL Id:hal-02942337
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Sfax (TUNISIA)
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Deposited On:31 Aug 2020 12:36

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