Applied Text as Graph (ATAG) in an Algorithmic Edition
The “Applied Text as Graph” (ATAG) methodology introduces a transformative framework for digital scholarly editing that addresses key challenges in text modeling, annotation, and citation with exceptional granularity (https://github.com/THM-Graphs/). By representing texts as interconnected labele...
Kaydedildi:
| Yayımlandı: | URI:https://journals.openedition.org/jtei, |
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| Yazar: | |
| Materyal Türü: | Article ou chapitre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Journal of the Text Encoding Initiative
2025
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| Konular: | |
| Online Erişim: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Özet: | The “Applied Text as Graph” (ATAG) methodology introduces a transformative framework for digital scholarly editing that addresses key challenges in text modeling, annotation, and citation with exceptional granularity (https://github.com/THM-Graphs/). By representing texts as interconnected labeled-property-graphs down to the character level, ATAG enables dynamic text analysis, flexible annotation hierarchies, and editable text structures without compromising their integrity.1 ATAG has been successfully applied to projects such as Liber Epistolarum (http://www.liberepistolarum.de/) and the Socinian Letter Project (http://www.sozinianer.de/), demonstrating its adaptability to diverse editorial needs. A pivotal advance is ATAG’s integration of the ENC-link citation model, which provides a precise and reliable method for scholarly referencing. By making every character uniquely addressable, ENC-links generate URL-based citations that pinpoint specific text segments, streamlining verification and enhancing academic transparency. This approach ensures robust citations even as texts evolve, through versioning mechanisms like character-node UUIDs and text hashes. Furthermore, ATAG lays the groundwork for algorithmic editions, which are designed to be equally navigable by humans and computational systems. By enabling seamless access to uniquely addressable texts, annotations, and metadata, these editions transform digital texts into comprehensive, interdisciplinary resources. The dual emphasis on human readability and machine accessibility fosters new opportunities for textual analysis, intertextual exploration, and computational workflows. Ultimately, ATAG and its associated advances in ENC-link citation and algorithmic editions redefine digital scholarship by creating dynamic, integrative systems for the modeling, analysis, and application of texts, ensuring their relevance in both traditional and data-driven humanities contexts. |
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