Abstract
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.
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Dos Reis, J.C. (2013). Maintaining Mappings Valid between Dynamic KOS. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds) The Semantic Web: Semantics and Big Data. ESWC 2013. Lecture Notes in Computer Science, vol 7882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38288-8_45
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DOI: https://doi.org/10.1007/978-3-642-38288-8_45
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