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

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  • NSTL
  • Elsevier
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.

Mapping evolutionMapping adaptationMapping maintenanceOntology alignmentOntology evolutionBiomedical ontologies

Dos Reis, Julio Cesar、Pruski, Cedric、Da Silveira, Marcos、Reynaud-Delaitre, Chantal

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Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP, Brazil

Luxembourg Inst Sci & Technol, L-1855 Luxembourg, Luxembourg

Univ Paris 11, Lab Rech Informat, F-91405 Orsay, France

2015

10.1016/j.jbi.2015.04.001

Journal of biomedical informatics.

Journal of biomedical informatics.

ISSN：1532-0464
年,卷(期)：2015.55
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