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Synapse
April 16, 20260 citationsOpen Access

Algorithmic Edition

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SESebastian EnnsMMMaximilian MichelAKAndreas Kuczera

Key Points

  • This research aims to enhance digital scholarly editing by focusing on machine-readability and computational analysis.
  • Developed an algorithmic edition framework utilizing applied text as graph (ATAG) and explicitly notated citations (ENC).
  • Emphasized machine-readability to allow for dynamic access to text segments and annotations.
  • Promoted interdisciplinary collaboration by integrating various texts and technology.
  • Facilitated precise navigation of textual data and annotations.
  • Enabled in-depth computational analysis of scholarly materials.
  • Advances the field of digital humanities by creating comprehensive systems for exploration.

Abstract

An algorithmic edition transforms digital scholarly editing by emphasizing machine-readability and computational analysis. Utilizing Applied Text as Graph (ATAG) and Explicitly Notated Citations (ENC), it enables precise, dynamic access to text segments, annotations, and metadata. This structured, networked approach supports interdisciplinary collaboration, advancing digital humanities by integrating texts, data, and technology into comprehensive systems for scholarly exploration.

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Cite This Study

Enns et al. (2026) studied this question.

synapsesocial.com/papers/69e07dc72f7e8953b7cbeb93https://doi.org/10.5281/zenodo.19513871
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