Issue |
SHS Web Conf.
Volume 102, 2021
The 3rd ETLTC International Conference on Information and Communications Technology (ETLTC2021)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 6 | |
Section | Technical Communication | |
DOI | https://doi.org/10.1051/shsconf/202110202005 | |
Published online | 03 May 2021 |
Ontology Modelling and Standardized Information Exchange with Content Delivery Applications in Technical Communication
Karlsruhe University of Applied Sciences, Faculty of Information Management and Media, 76133 Karlsruhe, Germany
* Daniel Nägele: nada1015@hs-karlsruhe.de
** Patricia Vobl: vopa1017@hs-karlsruhe.de
Ontologies are a technology recently used in technical communication (TC) to model information into a multidimensional net. They expand the modelling by taxonomy of metadata in TC. Any kind of relation between multiple classes and instances can be established. These ontologies can appear in the form of semantic correlation rules (SCR), which represent the connection between the metadata of the objects. SCR are used in connection with component content management systems (CCMS), semantic modelling systems (SMS) and content delivery portals (CDP) to deliver the appropriate amount of content in a more precise manner to the end user. In general, Ontology tools, CCMS and CDP are not based on the same ecosystem and therefore, they do not always work together effortlessly. A solution to this problem are exchange formats like the intelligent information Request and Delivery Standard (iiRDS), which enable a standardized information exchange between supported systems. Another solution would be compound information systems (CIS) like ONTOLIS, which combine a CCMS, CDP and SMS all in one. This paper aims to investigate the effect of SCR in the CDP of a CIS like ONTOLIS and to evaluate the use of exchange formats like iiRDS.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.