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Berlin Text System 3.1 User Manual : Editorial Software of the Thesaurus Linguae Aegyptiae Project
(2018)
The Berlin Text System (BTS) Version 3.1 manual introduces a Java-based software designed for editing and annotating Ancient Egyptian texts. BTS integrates a CouchDB database and an Elastic search engine to support its main components: Text Editor, Lemma List, Thesaurus, and Abstract Text.
The Text Editor facilitates transliteration, translation, lemmatization, and annotations, allowing for detailed lexical and grammatical analysis. Hieroglyphic transcriptions can be entered via a specialized Hieroglyph Type Writer based on JSesh.
The Lemma List ist ready to contain pre-Coptic lemmata, divided into Hieroglyphic/Hieratic and Demotic scripts, providing comprehensive entries with passport data, transliterations, and translations.
The Thesaurus allows for metadata enrichment of texts with controlled vocabulary for consistent data management, supporting contextual analysis through structured metadata.
The manual covers BTS's user interface, including menu bar, toolbar, status bar, and workspace, divided into views for each main component. Features like Revision History for tracking and restoring versions, indexing, and search capabilities enhance user efficiency. BTS is a powerful tool for the study and preservation of Ancient Egyptian texts, integrating advanced database and search technologies with specialized textual analysis tools.
The computer has come to play a transformative role in the ways we model, store, process and study text. Nevertheless, we cannot yet claim to have realised the promises of the digital medium: the organisation and dissemination of scholarly knowledge through the exchange, reuse and enrichment of data sets. Despite the acclaimed interdisciplinary nature of digital humanities, current digital research takes place in a closed environment and rarely surpasses the traditional boundaries of a field. Furthermore, it is worthwhile to continue questioning the models we use and whether they are actually suitable for our scholarly needs. There’s a risk that the affordances and limitations of a prevailing model may blind us to aspects it doesn’t support.
In her talk, Elli Bleeker discusses different technologies to model data with respect to their expressive power and their potential to address the needs of the scholarly community. Within this framework, she introduces a new data model for text, Text-As-Graph (TAG), and it’s reference implementation Alexandria, a text repository system. The TAG model allows researchers to store, query, and analyse text that is encoded from different perspectives. Alexandria thus stimulates new ways of looking at textual objects, facilitates the exchange of information across disciplines, and secures textual knowledge for future endeavours. From a philosophical perspective, the TAG model and the workflow of Alexandria raise compelling questions about our notions of textuality, and prompt us to reconsider how we can best model the variety of textual dimensions.
When managing large quantities of data, it is a common solution to utilize a centralized data management software to forge a connection between metadata and the data objects themselves. In case of text-based objects without any attached metadata, it is easy for humans to contextualize these objects by recognizing patterns such as filenames, titles, authors etc. This task becomes a challenge when dealing with non-text-based objects like images in the cultural heritage domain. Without metadata or expert knowledge, it becomes difficult to estimate the creation date of a painting or tell the name of its painter. Thus, the ability to contextualize data depends on whether there is a working connection between the metadata store and the data object itself. This connection fails as soon as the file is moved on the file system without having these changes also applied in the corresponding
data base, or when the file is shared without a reference to its original location. This paper presents an approach to overcome that type of co-dependency by utilizing XMP to embed cultural heritage metadata directly into image files to ensure their location-independent long-term preservation. The “Corpus Vitrearum Medii Aevi” Germany (CVMA) project serves as an example use-case.
quoteSalute strives to make data of digital scholarly editions of letters (DSELs) accessible in a playful fashion by enabling users to integrate salutations from DSELs in their own email correspondence. The foundation of quoteSalute is a curated TEI-XML text corpus which has been created by extracting <salute>-tags from TEI-XML-encoded DSELs. For providing users with fitting salutations, we annotated the data regarding language, level of politeness and intended gender of sender and receiver.