Category: Contextualizing

Contextualizing is the activity of creating associations between an object of investigation and other, more established or better-understood objects in a relation of geographical, temporal, or thematic proximity to the object of investigation, with the aim of ascribing meaning to that object. Such contextualizing may build on existing annotations and/or metadata.

GitHub – CateAgostini/IIIF

GitHub – CateAgostini/IIIF

Introduction: In this resource, Caterina Agostini, PhD in Italian from Rutgers University, Project Manager at The Center for Digital Humanities at Princeton shares two handouts of workshops she organized and co-taught on the International Image Interoperability Framework (IIIF). They provide a gentle introduction to IIIF and clear overview of features (displaying, editing, annotating, sharing and comparing images along universal standards), examples and resources. The handouts could be of interest to anyone interested in the design and teaching of Open Educational Resources on IIF.
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TAO IC Project: the charm of Chinese ceramics.

TAO IC Project: the charm of Chinese ceramics.

Introduction: Among the Nominees in the ‘Best DH Dataset’ of the DH Awards 2020, the TAO IC Project (http://www.dh.ketrc.com/index.html) leads us in a fascinating journey through the world of Chinese ceramics. The project, which is developed in a collaborative way at the Knowledge Engineering & Terminology Research Center of Liaocheng (http://ketrc.com/), exploits an onto-terminology-based approach to build an e-dictionary of Chinese vessels. Do you want to know every detail about a ‘Double-gourd Vase I’? If you consult ‘Class’ in the ‘Ontology’ section (http://www.dh.ketrc.com/class.html), you can discover the component, the function, from what such a vessel is made of, and what is the method to fire it. If you also wish to see how the vase appears, under ‘Individuals’ of the same section you can read a full description of it and, also, see a picture (http://www.dh.ketrc.com/class.html). All this information is collected in the e-dictionary for each beautiful item belonging to the Ming and Qing dynasties.

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When history meets technology. impresso: an innovative corpus-oriented perspective.

When history meets technology. impresso: an innovative corpus-oriented perspective.

Historical newspapers, already available in many digitized collections, may represent a significant source of information for the reconstruction of events and backgrounds, enabling historians to cast new light on facts and phenomena, as well as to advance new interpretations. Lausanne, University of Zurich and C2DH Luxembourg, the ‘impresso – Media Monitoring of the Past’ project wishes to offer an advanced corpus-oriented answer to the increasing need of accessing and consulting collections of historical digitized newspapers.
[…] Thanks to a suite of computational tools for data extraction, linking and exploration, impresso aims at overcoming the traditional keyword-based approach by means of the application of advanced techniques, from lexical processing to semantically deepened n-grams, from data modelling to interoperability.
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Ediarum. A toolbox for editors and developers | RIDE

Ediarum. A toolbox for editors and developers | RIDE

Introduction: the RIDE journal (the  Review Journal of the Institute for Documentology and Scholarly Editing) aims to offer a solution to current misalignments between scholarly workflows and their evaluation and provides a forum for the critical evaluation of the methodology of digital edition projects. This time, we have been cherry picking from their latest issue (Issue 11) dedicated to the evaluation and critical improvement of tools and environments.
Ediarum is a toolbox  developed for editors by the TELOTA initiative at the BBAW in Berlin to generate and annotate TEI-XML Data in German language. In his review, Andreas Mertgens touches upon issues regarding methodology and implementation, use cases, deployment and learning curve, Open Source, sustainability and extensibility of the tool, user interaction and GUI and of course a rich functional overview.
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Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Introduction: The article illustrates the application of a ‘discourse-driven topic modeling’ (DDTM) to the analysis of the corpus ChronicItaly comprising several newspapers in Italian language, appeared in the USA during the time of massive migration towards America between the end of the XIX century and the first two decades of the XX (1898-1920).

The method combines both Text Modelling (™) and the discourse-historical approach (DHA) in order to get a more comprehensive representation of the ethnocultural and linguistic identity of the Italian group of migrants in the historical American context in crucial periods of time like that immediately preceding the eruption and that of the unfolding of World War I.

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