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The Impact of Imbalanced training Data on Local matching learning of ontologie

Laadhar, Amir and Ghozzi, Faiza and Megdiche Bousarsar, Imen and Ravat, Franck and Teste, Olivier and Gargouri, Faiez The Impact of Imbalanced training Data on Local matching learning of ontologie. (2019) In: 22nd International Conference on Business Information Systems (BIS 2019), 26 June 2019 - 28 June 2019 (Seville, Spain).

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Official URL: https://doi.org/10.1007/978-3-030-20485-3_13

Abstract

Matching learning corresponds to the combination of ontology matching and machine learning techniques. This strategy has gained increasing attention in recent years. However, state-of-the-art approaches implementing matching learning strategies are not well-tailored to deal with imbalanced training sets. In this paper, we address the problem of the imbalanced training sets and their impacts on the performance of the matching learning in the context of aligning biomedical ontologies. Our approach is applied to local matching learning, which is a technique used to divide a large ontology matching task into a set of distinct local sub-matching tasks. A local matching task is based on a local classifier built using its balanced local training set. Thus, local classifiers discover the alignment of the local sub-matching tasks. To validate our approach, we propose an experimental study to analyze the impact of applying conventional resampling techniques on the quality of the local matching learning.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer. Proceedings of BIS 2019 were published as volume numbers 353 and 354 in Lecture Notes in Business Information Processing series (LNBIP) ISSN: 1865-1348 ISBN 978-3-030-20484-6 The original PDF of the article can be found at :https://link.springer.com/chapter/10.1007/978-3-030-20485-3_13
HAL Id:hal-02486113
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:05 Feb 2020 08:37

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