Accessible Unlicensed Requires Authentication Published by Oldenbourg Wissenschaftsverlag March 27, 2018

Generating Structured Data by Nontechnical Experts in Research Settings

Andre Breitenfeld, Florian Berger, Ming-Tung Hong, Maximilian Mackeprang and Claudia Müller-Birn
From the journal i-com

Abstract

Semantic technologies provide meaning to information resources in the form of machine-accessible structured data. Research over the past two decades has commonly focused on tools and interfaces for technical experts, leading to various usability problems regarding users unfamiliar with the underlying technologies – so-called nontechnical experts. Existing approaches to semantic technologies consider mostly consumers of structured data and leave out the creation perspective. In this work, we focus on the usability of creating structured data from textual resources, especially the creation of relations between entities. The research was conducted in collaboration with scholars from the humanities. We review existing research on the usability of semantic technologies and the state of the art of annotation tools to identify shortcomings. Subsequently we use the knowledge gained to propose a new interaction design for the creation of relations between entities to create structured data in the subject-predicate-object form. We implemented our interaction design and conducted a user study which showed that the proposal performed well, making it a contribution to enhance the overall usability in this field. However, this research provides an example of how technically sophisticated technology needs to be “translated” to make it usable for nontechnical experts. We need to extend this perspective in the future by providing more insight into the internal functioning of semantic technologies.

Funding source: Bundesministerium für Bildung und Forschung

Award Identifier / Grant number: 03IO1617

Funding statement: We gratefully acknowledge the financial support of the Elsa-Neumann-Stipend of the state of Berlin, of the German Research Foundation (Deutsche Forschungsgemeinschaft) with the Cluster of Excellence “Image Knowledge Gestaltung: An Interdisciplinary Laboratory” (EXC 1027), and the Federal Ministry of Education and Research of Germany (Bundesministerium für Bildung und Forschung) in the framework of “Ideas to Market” (project number 03IO1617).

Acknowledgment

We would like to express our very great appreciation to all persons that contributed to the neonion software: Lukas Benedix, Tina Klüwer and Alexa Schlegel. The research presented here was only possible because of their work.

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Published Online: 2018-03-27
Published in Print: 2018-04-25

© 2018 Walter de Gruyter GmbH, Berlin/Boston