Digital edition; Medieval philology; Crusades history; Armenian history; Computational modelling
Andrews Tara Lee (2019), The letters of Ioannes Tzimiskes in the Chronicle of Matt‘eos Urhayec‘i, in Horn Cornelia, Outtier Bernard, Ostrovsky Alexey, Lourié Basil (ed.), Brill, Leiden, 259-287.
Safaryan Anahit, Andrews Tara L., Atayan Tatev (2018), Semi-automated workflows for large-scale critical edition: The Chronicle of Matthew of Edessa online, in El'Manuscript 2018: 7th International Conference on Textual Heritage and Information Technologies
, 39-40, Holzhausen, Wien39-40.
Safaryan Anahit, Kaufmann Sascha, Andrews Tara L. (2016), Critical Edition as Graph: The Chronicle of Matthew of Edessa Online, in Digital Humanities 2016: Conference Abstracts
, 879-880, European Association for Digital Humanities, Krákow879-880.
Kaufmann Sascha, Andrews Tara L. (2016), Bearbeitung und Annotation historischer Texte mittels Graph-Datenbanken am Beispel der Chronik des Matthias von Edessa, in Modellierung, Vernetzung, Visualisierung: die Digital Humanities als fächerübergreifendes Forschungs
, 176-178, nisaba verlag, Leipzig176-178.
This project will provide a full critical online edition that is approximately a century overdue. The text to be edited is the Armenian-language Chronicle of Matthew of Edessa, a pivotal source for the history of the Crusading movement that has nevertheless suffered from grievous neglect in modern scholarship. The online edition project will serve as a platform for research into the people, places, and contexts to which Matthew refers and for interlinkages with other digital resources such as historical maps and online prosopographies. It will demonstrate the power and potential of digital textual scholarship by developing, in collaboration with other centres for digital textual scholarship within Europe where possible, a computational model for historical texts that is both comprehensive enough and flexible enough to underpin the edition of a complex historical text that survives in varying versions. The computational model and technological framework, based on the principles of graph relationship modelling and linked open data, will itself be methodologically useful for the wider field of digital textual scholarship.