DyKOSMap: A framework for mapping adaptation between biomedical knowledge organization systems.

Journal: Journal of biomedical informatics
Published Date: Apr 15, 2015

Abstract

BACKGROUND: Knowledge Organization Systems (KOS) and their associated mappings play a central role in several decision support systems. However, by virtue of knowledge evolution, KOS entities are modified over time, impacting mappings and potentially turning them invalid. This requires semi-automatic methods to maintain such semantic correspondences up-to-date at KOS evolution time.

Authors

  • Julio Cesar Dos Reis
    Faculty of Campo Limpo Paulista, Rua Guatemala, 167, 13231-230 Campo Limpo Paulista, SP, Brazil; Luxembourg Institute of Science and Technology, 29 Avenue John F. Kennedy, L-1855 Luxembourg, Luxembourg. Electronic address: juliocesardosreis@gmail.com.
  • Cédric Pruski
    Luxembourg Institute of Science and Technology, 29 Avenue John F. Kennedy, L-1855 Luxembourg, Luxembourg.
  • Marcos Da Silveira
    Luxembourg Institute of Science and Technology, 29 Avenue John F. Kennedy, L-1855 Luxembourg, Luxembourg.
  • Chantal Reynaud-Delaître
    Laboratoire de Recherche en Informatique, University of Paris-Sud, Bâtiment 650 (Ada Lovelace), 91405 Orsay, France.

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