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Partitioning and Matching Tuning of Large Biomedical Ontologies

Laadhar, Amir and Ghozzi, Faiza and Ichise, Ryutaro and Megdiche Bousarsar, Imen and Ravat, Franck and Teste, Olivier Partitioning and Matching Tuning of Large Biomedical Ontologies. (2018) In: 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM 2018), 8 October 2018 (Monterey, CA, United States).

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Official URL: http://ceur-ws.org/Vol-2288/om2018_poster3.pdf

Abstract

Large biomedical ontologies such as SNOMED CT, NCI, and FMA are exten-sively employed in the biomedical domain. These complex ontologies are basedon diverse modelling views and vocabularies. We define an approach that breaksup a large ontology alignment problem into a set of smaller matching tasks.We coupled this approach with an automated tuning process, which generatesthe adequate thresholds of the available similarity measure for any biomedicalmatching task. Experiments demonstrate that the coupling between ontologypartitioning and threshold tuning outperforms the existing approaches.

Item Type:Conference or Workshop Item (Poster)
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 XX Ceur Workshop Proceedings ISSN : 1613-0073 The definitive version is available at http://ceur-ws.org/Vol-2288/om2018_poster3.pdf
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > National Institute of Informatics - NII (JAPAN)
Other partners > Université de Sfax (TUNISIA)
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Deposited By: IRIT IRIT
Deposited On:19 Jun 2019 09:49

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