Full Paper
Modeling Classification Systems in SKOS: Some Challenges and Best-Practice Recommendations
Download PDF Read OnlineAbstract
Representing classification systems on the web for publication and exchange within the SKOS framework continues to be a challenge. This paper focuses on the differences between classification schemes and other families of KOS 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 with SKOS and OWL are proposed and examined.
Author information
Cite this article
Panzer, M., & Zeng, M. (2009). Modeling Classification Systems in SKOS: Some Challenges and Best-Practice Recommendations. International Conference on Dublin Core and Metadata Applications, 2009. https://doi.org/10.23106/dcmi.952109518
DOI : 10.23106/dcmi.952109518
Published
Metadata and citations of this article is published under the Creative Commons Zero
Universal Public Domain Dedication (CC0), allowing unrestricted reuse. Anyone can freely
use the metadata from DCPapers articles for any purpose without limitations.
This article full-text is published under the Creative Commons Attribution 4.0
International License (CC BY 4.0). This license allows use, sharing, adaptation,
distribution, and reproduction in any medium or format, provided that appropriate credit
is given to the original author(s) and the source is cited.