Recognizing lexical and semantic change patterns in evolving life science ontologies to inform mapping adaptation.

Journal: Artificial intelligence in medicine
Published Date:

Abstract

BACKGROUND: Mappings established between life science ontologies require significant efforts to maintain them up to date due to the size and frequent evolution of these ontologies. In consequence, automatic methods for applying modifications on mappings are highly demanded. The accuracy of such methods relies on the available description about the evolution of ontologies, especially regarding concepts involved in mappings. However, from one ontology version to another, a further understanding of ontology changes relevant for supporting mapping adaptation is typically lacking.

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.
  • Duy Dinh
    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.
  • Cédric Pruski
    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.