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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
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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