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Domain Independent Learning of Ontology Mappings

International Joint Conference on Autonomous Agents and Multiagent Systems, 2004
This paper proposes a domain independent method for handling interoperability problems by learning a mapping between ontologies. The learning method is based on exchanging instances of concepts that are defined in the ontologies. The method starts with identifying pairs of instances of concepts denoting the same entity in the world using information ...
Wiesman, Floris, Roos, Nico
openaire   +3 more sources

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification

Knowledge-Based Systems, 2023
Zijun Zheng, Heng Wu, Hailiang Ye
exaly  

Deep learning approaches for data-independent acquisition proteomics

Expert Review of Proteomics, 2021
Yi Yang, Ling Lin, Liang Qiao
exaly  

Independent learning

2018
Marc Smith, Jonathan Firth
openaire   +2 more sources

Independent learning

2017
Alan Denton, Simon Brownhill
openaire   +1 more source

Independent Learning

2014
Ronaldo Mota, David Scott
openaire   +1 more source

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