Reusing modern tools and techniques to reproduce and research ancient texts

Jordanous, Anna and Stanley, Alan and Tupman, Charlotte (2013) Reusing modern tools and techniques to reproduce and research ancient texts. In: Open Repositories, Prince Edward Island, Canada. (Full text available)

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Abstract

The Sharing Ancient Wisdoms project (SAWS) is establishing a research workflow of editing, linking and publishing semantically-enhanced TEI/XML-based digital editions of ancient manuscripts that contain wise sayings. Of particular research interest is the ability to investigate links between these manuscripts. Digital edition creation, storage, annotation and, most recently, the adding of RDF and Linked Data are hot topics in digital humanities research, making SAWS workflows and supporting technologies highly transferable. Updating and maintaining published files, currently stored in a web filestore, has become troublesome. Additionally, the lengthy, involved procedures of transcribing and editing manuscripts have caused delays. More intuitive interfaces for editing and annotating files would be helpful. Scholars studying manuscripts in right-to-left (RTL) languages have also reported difficulties working with standard XML editors. In this work we explore if SAWS's research workflows can be made more efficient and intuitive through the use of repository tools developed within Islandora for the Editing Modernism in Canada (EMiC) research project.

Item Type: Conference or workshop item (Paper)
Subjects: 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 > Z004 Books. Writing. Paleography
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: 30 Sep 2015 14:23 UTC
Last Modified: 01 Oct 2015 08:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/50696 (The current URI for this page, for reference purposes)
Jordanous, Anna: https://orcid.org/0000-0003-2076-8642
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