Ontology-based modelling for content delivery systems

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 meta...

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Bibliographic Details
Main Authors: Padeken Lena Mareike, Bürkel Annika Johanna
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_03004.pdf
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spelling doaj-ffa83c5e7b1b406c9e754e99f4934e2b2021-04-02T18:05:31ZengEDP SciencesSHS Web of Conferences2261-24242020-01-01770300410.1051/shsconf/20207703004shsconf_etltc2020_03004Ontology-based modelling for content delivery systemsPadeken Lena Mareike0Bürkel Annika Johanna1Karlsruhe University of Applied Sciences, Faculty of Information Management and MediaKarlsruhe University of Applied Sciences, Faculty of Information Management and MediaInstead 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.https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_03004.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Padeken Lena Mareike
Bürkel Annika Johanna
spellingShingle Padeken Lena Mareike
Bürkel Annika Johanna
Ontology-based modelling for content delivery systems
SHS Web of Conferences
author_facet Padeken Lena Mareike
Bürkel Annika Johanna
author_sort Padeken Lena Mareike
title Ontology-based modelling for content delivery systems
title_short Ontology-based modelling for content delivery systems
title_full Ontology-based modelling for content delivery systems
title_fullStr Ontology-based modelling for content delivery systems
title_full_unstemmed Ontology-based modelling for content delivery systems
title_sort ontology-based modelling for content delivery systems
publisher EDP Sciences
series SHS Web of Conferences
issn 2261-2424
publishDate 2020-01-01
description 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.
url https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_03004.pdf
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