TEI2019 "What is Text, really? TEI and beyond" Book of Abstracts [article]

TEI2019 Local Organisers And Contributors
2019 Zenodo  
This PDF contains the abstracts for the 19th annual Conference and Members' Meeting of the Text Encoding Initiative Consortium (TEI), organized by the Centre for Information Modelling, University of Graz, Austria. September 16–20, 2019. It is a rough compilation of the PDF/word-processor files we received by the authors. Not every text file contains authors, so please check the authors as given in the table of content in the following pages. We consider the XML/TEI archived at
more » ... raz.at/context:tei2019 as the main reference to each contribution. The 2019 edition of the annual TEI conference is put under the theme "What is text, really? TEI and beyond". The development of the TEI and the discussions around it have shown how manifold text(s) can be, and how far-reaching the TEI approach is. Thus, this year's theme "What is text, really?" poses a fundamental question, which goes beyond the pure reference to the seminal paper by DeRose, Durand, Mylonas, and Renear. In 1990 they answered the question somewhat pragmatically introducing a model for text as an ordered hierarchy of content objects which can easily be formalised with digital technologies, but, as they said later on: text can be much more than that. Text encoding can make various aspects of texts explicit, enabling scholars to examine their nature and their relationship with other objects. In this context, the power of the TEI relies on its technological interactions, supporting software of all kinds operating upon texts, from visualisation to annotation tools, digital publishing systems, or statistical analysis. The TEI framework is a way of modelling knowledge and engaging in a dialogue with ontologies, conceptual models, and recent approaches such as text as graph. For text-centric disciplines the TEI offers a range of solutions that address core research needs. However, for object-based disciplines, like archaeology or museology, where text and its encoding is only a small part of their data modelling ecosystem, the value of TEI is not so [...]
doi:10.5281/zenodo.3445894 fatcat:ttmfugaau5btjg2jgqlu4t6tia