Amina Annane

National School of Computer Science

BP 68M, 16309

Oued-Smar

Alger

Algeria

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Scholarly Papers (1)

1.

Building an Effective and Efficient Background Knowledge Resource to Enhance Ontology Matching

Number of pages: 22 Posted: 02 Nov 2018
National School of Computer Science, University of Montpellier - Laboratory of Informatics, Robotics and Microelectronics (LIRMM), National School of Computer Science and Stanford University - Center for Biomedical Informatics Research
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Abstract:

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Ontology matching, Ontology alignment, Background knowledge, Indirect matching, External resource, Anchoring, Derivation, Background knowledge selection, Supervised machine learning