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Informatics 2017, 4(4), 44; https://doi.org/10.3390/informatics4040044

Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research

1
Department of Computer Science VII, TU Dortmund University, 44227 Dortmund, Germany
2
Department of Ancient Cultures, Ancient Near Eastern Studies, University of Würzburg, 97070 Würzburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Roberto Therón Sánchez
Received: 8 November 2017 / Revised: 4 December 2017 / Accepted: 9 December 2017 / Published: 12 December 2017
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Abstract

The three-dimensional cuneiform script is one of the oldest known writing systems and a central object of research in Ancient Near Eastern Studies and Hittitology. An important step towards the understanding of the cuneiform script is the provision of opportunities and tools for joint analysis. This paper presents an approach that contributes to this challenge: a collaborative compatible web-based scientific exploration and analysis of 3D scanned cuneiform fragments. The WebGL -based concept incorporates methods for compressed web-based content delivery of large 3D datasets and high quality visualization. To maximize accessibility and to promote acceptance of 3D techniques in the field of Hittitology, the introduced concept is integrated into the Hethitologie-Portal Mainz, an established leading online research resource in the field of Hittitology, which until now exclusively included 2D content. The paper shows that increasing the availability of 3D scanned archaeological data through a web-based interface can provide significant scientific value while at the same time finding a trade-off between copyright induced restrictions and scientific usability. View Full-Text
Keywords: cuneiform; 3D viewer; WebGL; Hittitology; 3D collation cuneiform; 3D viewer; WebGL; Hittitology; 3D collation
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Fisseler, D.; Müller, G.G.W.; Weichert, F. Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research. Informatics 2017, 4, 44.

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