Document (#35719)

Author
Panzer, M.
Zeng, M.L.
Title
Modeling classification systems in SKOS : Some challenges and best-practice
Source
Semantic Interoperability for Linked Data, proc. DC2009: International Conference on Dublin Core and Metadata Applications, Seoul, Korea, October 12-17, 2009
Year
2009
Pages
12 S. (S.3-14)
Abstract
Representing classification systems on the web for publication and exchange continues to be a challenge within the SKOS framework. This paper focuses on the differences between classification schemes and other families of KOS (knowledge organization systems) that make it difficult to express classifications without sacrificing a large amount of their semantic richness. Issues resulting from the specific set of relationships between classes and topics that defines the basic nature of any classification system are discussed. Where possible, different solutions within the frameworks of SKOS and OWL are proposed and examined.
Footnote
Vgl.: http://dcpapers.dublincore.org/ojs/pubs/article/view/974/944.
Theme
Wissensrepräsentation
Semantische Interoperabilität
Object
SKOS
DDC
OWL

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