Back to results

University of Cambridge

Electronic Long-Term Archiving of Complex Textual Artefacts

Abstract

dc:description.abstract

Digital long-term archiving and data curation, whether in the Digital Humanities (DH) or elsewhere, depends on a suitable data model and must fulfill many requirements. One prerequisite for long-term archiving is interoperability of the data, across machines, computer architectures, and operating systems. But there are many use cases in philology where the requirements are even more stringent, for example the philological reconstruction of textual artefacts and their gestation. Such reconstruction depends on a format which natively supports non-linear text. It should also provide native support for multiple hierarchies over the data. In addition, the format should ideally enable different teams of philologists to work together successfully and sustainably on the same project, and over long stretches of time. Documents in this format should therefore be easily readable for humans, while still being machine-readable. In this work, I show that the two document models in common use today fall short of these requirements. I then set out to provide my solution to the problem: a topological document format in which symbols gain their meaning through their topological arrangement. Annotation is expressed in a stand-off manner and therefore able to support multiple hierarchies and concurrent text. My design includes operations that can programmatically support the format: how to create data in the format, how to access and mutate the data by systematic means, how to check whether the data is consistent, and how to print out the data after work in the DH project is concluded, possibly keeping the data in that format for centuries. One part of the solution is to extend the classic diff model of editorial operations by adding an open variant. Structural data access and mutation in my document model relies on Region Algebra, which was invented in 2002 by Miller. String search over the non-linear data uses an object called a variant graph, which can be systematically derived from my topological notation. After showing that my solution does not share the problems of its predecessors, I will lay out the implementation of the model. I will also show how import from existing formats works, by using the Wiener Ausgabe as my showcase. The design is based on a combination of insights from philology with techniques from computer science, hopefully enabling philologists to systematicise the editorial operations they use, while exposing computer scientists to interaction techniques from a century-old endeavour.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bruder, Daniel
Advisor dc:contributor.advisor
  • Teufel, Simone

Subjects

dc:subject × 3

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
DOI dc:identifier.doi
https://doi.org/10.17863/CAM.100239
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/354453

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bruder, Daniel. Electronic Long-Term Archiving of Complex Textual Artefacts. Doctoral thesis, University of Cambridge, 2023. https://doi.org/10.17863/CAM.100239