Computer-Assisted Processing of Intertextuality in Ancient Languages

Hedges, Mark and Jordanous, Anna and Lawrence, K. Faith and Roueché, Charlotte and Tupman, Charlotte (2017) Computer-Assisted Processing of Intertextuality in Ancient Languages. Journal of Data Mining and Digital Humanities, . ISSN 2416-5999. E-ISSN 2416-5999. (Full text available)

Abstract

The production of digital critical editions of texts using TEI is now a widely-adopted procedure within digital humanities. The work described in this paper extends this approach to the publication of gnomologia (anthologies of wise sayings) , which formed a widespread literary genre in many cultures of the medieval Mediterranean. These texts are challenging because they were rarely copied straightforwardly ; rather , sayings were selected , reorganised , modified or re-attributed between manuscripts , resulting in a highly interconnected corpus for which a standard approach to digital publication is insufficient. Focusing on Greek and Arabic collections , we address this challenge using semantic web techniques to create an ecosystem of texts , relationships and annotations , and consider a new model – organic , collaborative , interconnected , and open-ended – of what constitutes an edition. This semantic web-based approach allows scholars to add their own materials and annotations to the network of information and to explore the conceptual networks that arise from these interconnected sayings

Item Type: Article
Projects: [UNSPECIFIED] Sharing Ancient Wisdoms
Subjects: B Philosophy. Psychology. Religion
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Anna Jordanous
Date Deposited: 12 Sep 2017 13:02 UTC
Last Modified: 13 Sep 2017 09:33 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/63375 (The current URI for this page, for reference purposes)
Jordanous, Anna: https://orcid.org/0000-0003-2076-8642
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