Maintaining Mappings Valid between Dynamic KOS
Résumé
Knowledge Organization Systems (KOS) and the existing mappings between them have become extremely relevant in semantic-enabled systems especially for interoperability reasons. KOS may have a dynamic nature since knowledge in a lot of domains evolves fast, and thus KOS evolution can potentially impact mappings, turning them unreliable. A still open research problem is how to adapt mappings in the course of KOS evolution without re- computing semantic correspondences between elements of the involved KOS. This PhD study tackles this issue proposing an approach for adapting mappings according to KOS changes. A framework is conceptualized with a mechanism to support the maintenance of mappings over time, keeping them valid. This proposal will decrease the efforts to maintain mappings up-to-date.
Domaines
Intelligence artificielle [cs.AI]
Origine : Fichiers produits par l'(les) auteur(s)
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