Poster

SKOS for an Integrated Vocabulary Structure

Marcia Lei Zeng , Wei Fan , Xia Lin
Download PDF Read Online
Wikidata ID: Q120636554
Abstract

In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL-lite and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. The poster reports on the progress, share the sample SKOS entries, and summarize problems identified during the SKOS encoding process. Results of OWL and RDFS encoding for the same vocabulary structure will be used for comparison.

Author information

Marcia Lei Zeng
Kent State University,
Google Scholar Semantic Scholar
Wei Fan
China Academy of Sciences,
Google Scholar Semantic Scholar
Xia Lin
Drexel University,
Google Scholar Semantic Scholar

Cite this article

Zeng, M., Fan, W., & Lin, X. (2008). SKOS for an Integrated Vocabulary Structure. International Conference on Dublin Core and Metadata Applications, 2008. https://doi.org/10.23106/dcmi.952109342

DOI : 10.23106/dcmi.952109342

CC-0 Logo 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.
CC-BY Logo 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.