Analyzing and Supporting the Mapping Maintenance Problem in Biomedical Knowledge Organization Systems

Abstract : The ever-increasing quantity of data produced in biomedical applications requires the development of intelligent tools implementing Knowledge Organization Systems (KOS) like ontologies, thesauri, or classification schemes for a better integration and exploitation of this data. However, due to the size of this application field, element overlapping can occur between different KOS relying on various knowledge representation models. Therefore, mappings are necessary to improve the semantic interoperability of systems using KOS. Moreover, due to the dynamics of the biomedical domain, KOS constantly evolve over time, and new versions are released periodically forcing domain experts to revise the existing mappings affected by the evolution of the underlying heterogeneous KOS. In this paper, we provide an analysis of the mapping evolution problem. We highlight the lacks of existing approaches to deal with this problem and outline the sketch of the DyKOSMap framework as a prospective solution.
Type de document :
Communication dans un congrès
Workshop on Semantic Interoperability in Medical Informatics (SIMI), May 2012, Heraklion, Greece. 2012
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https://hal.inria.fr/hal-00787422
Contributeur : Chantal Reynaud <>
Soumis le : mardi 12 février 2013 - 10:26:26
Dernière modification le : mardi 24 avril 2018 - 13:38:29

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  • HAL Id : hal-00787422, version 1

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J.C. Dos Reis, Cédric Pruski, Marcos Da Silveira, Chantal Reynaud. Analyzing and Supporting the Mapping Maintenance Problem in Biomedical Knowledge Organization Systems. Workshop on Semantic Interoperability in Medical Informatics (SIMI), May 2012, Heraklion, Greece. 2012. 〈hal-00787422〉

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