| Issue |
SHS Web Conf.
Volume 77, 2020
The 2nd ACM Chapter International Conference on Educational Technology, Language and Technical Communication (ETLTC2020)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 6 | |
| Section | Technical Communication | |
| DOI | https://doi.org/10.1051/shsconf/20207703004 | |
| Published online | 08 May 2020 | |
Ontology-based modelling for content delivery systems
Karlsruhe University of Applied Sciences, Faculty of Information Management and Media, 76133 Karlsruhe, Germany
* Lena Mareike Padeken: pale1014@hs-karlsruhe.de
** Annika Johanna Bürkel: buan1024@hs-karlsruhe.de
Instead of managing metadata in a content management system (CMS) for content delivery, this research uses an ontology to make use of augmented intelligence. Hence, the retrieval of specific information in a content delivery system (CDS) is provided by a concise metadata concept. Ontology-based metadata concepts can have advantages in comparison to taxonomy-based metadata concepts because of the possibilities they offer to display linked information. The creation of an ontology depends on the vendor’s system, the vendor’s approach and most importantly the particular use case. Due to the ontology modelling, a data transformation for an external CDS is needed. When working with different vendors, requirements and considerations need to be discussed because the outcome can add value to user experience. The goal of this research is to identify the advantages of an ontology system over metadata management in a CMS. These advantages can be extracted by opportunities offered by the ontology modelling and by the transformation process.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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