DyKOSMap: A Framework for Mapping Adaptation between Biomedical Knowledge Organization Systems

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. Methods. We define a complete and original framework based on formal heuristics that drives the adaptation of KOS mappings. Our approach takes into account the definition of established mappings, the evolution of KOS and the possible changes that can be applied to mappings. This study experimentally evaluates the proposed heuristics and the entire framework on realistic case studies borrowed from the biomedical domain, using official mappings between several biomedical KOSs. Results. We demonstrate the overall performance of the approach over biomedical datasets of different characteristics and sizes. Our findings reveal the effectiveness in terms of precision, recall and f-measure of the suggested heuristics and methods defining the framework to adapt mappings affected by KOS evolution. The obtained results contribute and improve the quality of mappings over time. Conclusions. The proposed framework can adapt mappings largely automatically, facilitating thus the maintenance task. The implemented algorithms and tools support and minimize the work of users in charge of KOS mapping maintenance.
Type de document :
Article dans une revue
Journal of Biomedical Informatics, Elsevier, 2015, pp.153-173. 〈10.1016/j.jbi.2015.04.001〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01250647
Contributeur : Chantal Reynaud <>
Soumis le : mardi 5 janvier 2016 - 10:18:21
Dernière modification le : mardi 24 avril 2018 - 13:53:26

Lien texte intégral

Identifiants

Citation

J.C. Dos Reis, Cédric Pruski, Marcos Da Silveira, Chantal Reynaud-Delaître. DyKOSMap: A Framework for Mapping Adaptation between Biomedical Knowledge Organization Systems. Journal of Biomedical Informatics, Elsevier, 2015, pp.153-173. 〈10.1016/j.jbi.2015.04.001〉. 〈hal-01250647〉

Partager

Métriques

Consultations de la notice

138