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Adding Meta Data to Documents for E-Learning: A Tool Evaluation
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Adding Meta Data to Documents for E-Learning: A Tool Evaluation
doi: 10.52987/edc.2025.003
Harald Wahl
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
wahl@technikum-wien.at
Alexander Mense
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Martin Niederwieser
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Sonja Vollnhofer
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Shveta Sohal
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Sebastian Schwarz Mense
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
ABSTRACT
Modern Web 3.0 learning environments require a solution for making all related documents,
which may be stored and accessible through various systems, findable in a semantic way.
This paper deals with the requirements of such a solution, which are based on a project from
the University of Applied Sciences Technikum Wien and evaluates which of the existing
software solutions on the market meets the needs, while only ready-to-use software and
components are considered. Features and functionalities of four software solutions (Microsoft
SharePoint, W3C Annotea, Ontopia Knowledge Suite and Caringo CAStor) are compared
with the requirements. Possible usage scenarios provide hints and general thoughts for
putting the project’s concept into practice. An evaluation of all the software solutions
considered shows clearly the advantages and disadvantages of them. It turns out that no
considered software solution meets the needs perfectly, but this paper illustrates the best
usage for e-learning purposes.
KEYWORDS: E-learning, Topic maps, Annotation, Semantic technologies
Tomorrow People Organization
Title: Adding Meta Data to Documents for E-Learning: A Tool Evaluation
Description:
Adding Meta Data to Documents for E-Learning: A Tool Evaluation
doi: 10.
52987/edc.
2025.
003
Harald Wahl
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
wahl@technikum-wien.
at
Alexander Mense
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Martin Niederwieser
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Sonja Vollnhofer
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Shveta Sohal
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
Sebastian Schwarz Mense
University of Applied Sciences Technikum Wien
Hoechstaedtplatz 6, 1200 Vienna, Austria
ABSTRACT
Modern Web 3.
0 learning environments require a solution for making all related documents,
which may be stored and accessible through various systems, findable in a semantic way.
This paper deals with the requirements of such a solution, which are based on a project from
the University of Applied Sciences Technikum Wien and evaluates which of the existing
software solutions on the market meets the needs, while only ready-to-use software and
components are considered.
Features and functionalities of four software solutions (Microsoft
SharePoint, W3C Annotea, Ontopia Knowledge Suite and Caringo CAStor) are compared
with the requirements.
Possible usage scenarios provide hints and general thoughts for
putting the project’s concept into practice.
An evaluation of all the software solutions
considered shows clearly the advantages and disadvantages of them.
It turns out that no
considered software solution meets the needs perfectly, but this paper illustrates the best
usage for e-learning purposes.
KEYWORDS: E-learning, Topic maps, Annotation, Semantic technologies.
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