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This Poster presents a TEI model for radio plays and how we distributed our digital audio edition of 2 of Werner Koflers radio plays on the research platform: www.wernerkofler.at.

Diese Masterarbeit beschäftigt sich mit digitalen Kalenderanwendungen, zu Heiligen, ihren Festen und mittelalterlichen Kalendarien und wie diese Anwendungen im Kontext des Semantic Web umgesetzt werden können. Im Fokus steht dabei die Anwendung Grotefend digital, die eine RDF-Repräsentation des Heiligenverzeichnisses und der Diözesan- und Ordenskalender aus Hermann Grotefends Werk Zeitrechnung des Deutschen Mittelalters und der Neuzeit darstellt.Die Arbeit beschäftigt sich mit der These, dass noch nicht viele Projekte zu Kalendarien, Heiligen und deren Festen mit Semantik Web-Technologien umgesetzt wurden, aber dass diese Technologien Vorteile mit sich bringen können. Weiters befasst sie sich mit der Frage, wie eine Anwendung mit diesen Technologien umgesetzt werden kann. Das wird durch die Analyse von bestehenden Projekten und der Beschreibung des Projektes Grotefend digital, von der Datenakquise bis zur Datendissemination, und der dafür entstandenen Ontologie gezeigt und beantwortet. In dieser Ontologie wird auf eine Feingliederung der Klassen geachtet und sie bringt den Vorteil mit, dass sie für weitere Anwendungsfälle erweitert werden kann.Die Verwendung der Semantik Web Technologien verbessert die Vernetzung der bestehenden und zukünftigen Informationsbeständen dieses Themenbereichs, da diese die höhere Standardisierung in der Identifizierung der Ressourcen und den leichteren Austausch der Daten zwischen unterschiedlichen Stores ermöglicht. Die Ontologie und das Authority File, die durch Grotefend digital entstanden sind, ermöglichen durch das Nutzen der Semantik Web Technologien und der erleichterten Vernetzung auch den Vergleich von Kalendarien und Daten zu Heiligen sowie Such- und Retrieval-Szenarien in diesen Informationsbeständen. This master thesis looks at digital calendar applications concerning saints, their feasts and medieval calendars and how these applications can be implemented in the context of the Semantic Web. Focus lies on the application Grotefend digital, which is an RDF representation of the canon of saints and the calendars of dioceses and religious orders from Hermann Grotefend's work Zeitrechnung des Deutschen Mittelalters und der Neuzeit. The thesis postulates that while only few projects on calendars, saints and their feasts have been implemented with semantic web technologies so far, these technologies can bring advantages. Furthermore, it examines how these technologies can be used to implement such an application. This will be achieved by analyzing existing projects as well as by describing the Grotefend digital project in more detail, including data acquisition, data dissemination and the ontology created for it. In this ontology, attention is paid to a fine structuring of the classes and it has the advantage that it can be extended to further cases. The use of semantic web technologies improves the networking of existing and future information stores in this area, as it allows for a more standardized identification of resources and an easier exchange of data between different stores. By using the semantic web technologies, the ontology and the authority file created for Grotefend digital enable the comparison of calendars and data on saints as well as search and retrieval scenarios in these information stores. Arbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüft Abweichender Titel laut Übersetzung des Verfassers/der Verfasserin Karl-Franzens-Universität Graz, Masterarbeit, 2021 (VLID)5811717

A single abstract from the DHd-2020 Book of Abstracts., Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung entstanden sind, der Vereinheitlichung von Namen der Autor*innen in das Schema "Nachname, Vorname" und/oder der Trennung von Überschrift und Unterüberschrift durch die Setzung eines Punktes, sofern notwendig., {"references":["https://doi.org/10.5281/zenodo.3666690","https://github.com/DHd-Verband/DHd-Abstracts-2020"]}

In this paper, we introduce the concept of genetic networks to study the relationships between manuscripts and publications in genetic editing. We present a data model and its formalisation in an OWL2 ontology, as well as the corresponding data visualisations in the form of sky maps. Our case study is the literary œuvre of the Swiss writer and photographer Gustave Roud (1897-1976). We conclude with some remarks about the project workflow and the integration of data and visual modelling. &nbsp

In this paper, we study data reuse in scholarly editing, providing insights into the current panorama and imagining future developments. We will focus on the reuse of data, leaving aside the reuse of code and models, which would require a separate enquiry; and would concentrate on machine-actionable reuse, as opposed to human consumption.

Digital Humanities research often provides opportunities for collaboration – but it just as often requires collaboration. The demands placed on DH projects in terms of technical skills and know-how are such that collaboration and a reliance on adequate research infrastructures become a necessity.

The contribution utilizes the information density of the arrival lists published in the 18th century newspaper "Wien[n]erisches Diarium" with the help of digital, (semi‑)automatic methods: high-quality full texts are created with Transkribus and the entities named herein (e.g. points of entry/lodging) are extracted, geocoded and visualized on historical city maps.

This presentation explores how n-grams can be used to automatically classify and learn about music. An overall discussion is provided of various ways in which n-grams can be adapted for use with digital scores, and of how musically meaningful features can be extracted from them. The jSymbolic 3.0 alpha prototype feature extractor is then used in three sets of music classification experiments investigating how n-gram features perform relative to and combined with other types of features extracted from symbolic music files., Funded by the FRQSC and SSHRC.

As the primary resource for preschool children, picture books,and their gender narratives, can unconsciously shape and changechildren’s perceptions of sex roles and gender identity (Bleakley etal., 1988; Connor & Serbin, 1978; Latima, 2020). However, existingstudies show concerning trends in the representation of genderinequality in modern picture books, such as the overwhelmingnumber of male main characters and traditional gender stereotypesof vocations, personalities and habits (Casey et al., 2021; Hamiltonet al., 2006; Lee & Chin, 2019; Terras, 2018). It is thereforeimportant for children’s picture books to have diverse gender descriptionsand improved equal gender representations.Since the second Feminist Movement in the 1960s, gender equalityin UK children’s picture books have been continuously examinedyet slowly improved (Adams et al., 2011; Allen et al., 1993;Capuzza, 2020; Hamilton et al., 2006). Similar studies have beenfar less common in China, as the Chinese picture book market onlydeveloped from the start of the 21 st Century (Xiao, 2021). Onestudy has shown the existence of the traditional gender biases inChinese picture books (Liu & Chen, 2018). Based on the researchgap between these two countries, this study will (1) investigategender representations and narratives in picture books, (2) comparethe similarities and differences between bestselling Britishand Chinese picture books texts from 2010 to 2020. We do so byapplying text mining techniques to analyse gender narratives withinpicture book texts themselves. This follows on from our 2022study where we analysed publisher’s descriptions of texts, ratherthan full text mining of the book’s content (Li et al., 2022).

Book of Abstracts from the Digital Humanities Conference 2023, held from 10th to 14th July in Graz, Austria

We present a Web application that facilitates the deep visual search of image collections using contemporary machine learning. We discuss image retrieval as a combined computer vision/human-computer interaction problem, and propose that the standardization of feature extraction is one of the main problems that digital art history faces today.

This presentation offers a side-by-side comparison of the publication processes for traditional monographs versus complex interactive digital projects. Prepared by Stanford University Press whose 6-year Mellon-funded digital publishing initiative is coming to a close in December 2023, the presentation reflects on the highly collaborative processes digital publications require.

We investigate the needs of analyzing historical attitudes to Hitler and Mussolini using digitized historical sources and a computer-assisted approach. We believe that the principles of 'minimal computing' are worth a comparison with established, resource-heavy approaches. In terms of social equity and global access, efficient methods offer opportunities for improvement.

The concept of "deep mapping," has been increasingly reflected in recent years in the theory and practice of digital humanities. In this short paper we want to present the Polish experience in this matter, including the "Atlas of Holocaust Literature - Warsaw Ghetto," project prepared by our team in 2019.

The Digital Humanities for Marginal Areas (DH4MA) workshop aims to investigate the state of the art of tangible and intangible heritage digitalization in marginal and rural areas and their accessibility.

In this poster we would like to present the new architecture and features of EVT 3 (Edition Visualization Technology), an open source Angular-based tool for the visualization of TEI-XML Digital Scholarly Editions. We will use and showcase two digital philology projects as test bed for the new functionalities.

Mandala 2.0 is the UVA Library's re-envisioning of the longstanding Mandala collection, with the goal of preserving Mandala's Tibetan-Himalayan cultural heritage assets and data framework sustainably and discoverably. This poster will showcase the prototyping and usability testing phase as we develop a user interface and Linked Open Data.

How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritten dataset from the tower of Bern, we tested available language models and taggers, showcasing that specific forms of representation and identification need to be found. Relying on cooperation to further improve information retrieval.

Last Year, I have presented our first experiments, which tested, if it is possible to use RCNNs for semi-automated annotation in our project. As those experiments were very promising, we now want to present our prototype of semi-automated annotation using RCNNs, which is currently under developement.

This contribution argues to describe the discussions within the digital humanities (DH) discipline as a subjectivation discourse following the contention of Michel Foucault. This allows us to reframe the negotiation processes within the DH as a means to formally establish its disciplinary in/dependence, and as such provides and creates agency for the subjects of the discourse(s).

In order to get a clearer picture of the people who want to do Digital Humanities, their backgrounds, their expectations, and their contribution to the field, the huge amount of data gathered between 2009 and 2022 by the European Summer University in Digital Humanities "Culture & Technology" are being analysed. First results of this analysis will be presented at DH2023 hoping to provide more insight into this community and stimulate others to dig into their data as well so that by comparing and joining findings a clearer picture of what Digital Humanities mean to the people summer / winter schools and institutes bring to the field can be obtained.

To detect conflicts in literary texts, this short paper adapts word embedding based sentiment analysis for assigning conflict values to texts. This heuristic approach is able to output relevant verb phrases of a corpus of German novels from the Romantic period and indicate first trends in the corpus.

Digital access to social sciences and humanities (SSH) research resources is necessary to enable broad use. For this purpose, a discovery platform for SSH resources was created. This paper describes its development, based on user, economic, and computer science research methods, and illustrates how such a platform supports social exchange.

Graph Literary Exploration Machine (GoLEM) is a new web-based application for literary scholars. The tool allows for named entity relationship analysis, terminology mining, and topic modeling. A strong emphasis is put on the visualisation of results as graphs, time series, maps or scatter plots.

We propose and conceptualize an approach for literary network analysis that does not rely on co-appearance, but rather what can be called semantic context: characters are connected if they share a semantic neighborhood, or similar meaning-based contexts, even if they are distant in the text sequence.

The tutorial provides a practical introduction to Transkribus, a comprehensive platform for the digitisation, AI-powered text recognition, transcription and searching of historical documents. The participants will learn how to run the layout analysis (also for tables and complex layouts) and train and apply Handwritten Text Recognition AI-models to automatically generate machine-readable transcriptions of images of text. In the end, they will have a general understanding of the potential of Handwritten Text Recognition to open new research questions and how Transkribus can be used to collaborate, involve volunteers and teach in DH and History classes.

The Digital Linguistic Atlas of Scotland is a digitization and reanalysis of the lexical section of the Linguistic Atlas of Scotland. The tool offers dynamic and costumizeable maps and aims to showcase the opportunities of the digitization of analogue linguistic research data.

We are presenting the results of mutual collaboration within two different, but related, projects in the field of cultural heritage digitization. Shared outcomes of our mutual collaboration include the valorization of cultural heritage items and experimental work on enriching a visualization application with a functionality to annotate graphs.

The imagined urban landscapes, structures, and environments of writer H.P. Lovecraft's Providence, RI play a central role in the development of his tales of horror, abomination, and wonder. This project repurposes the tools of digital art history and urbanism to create imaginative reconstructions of these locales across space and time.

This paper will discuss how interdisciplinarity, collaboration and participation have been re-imagined in large-scale digital cultural heritage projects, taking the Congruence Engine project as a case study, by highlighting how the interplay between the collaborative nature of DH, and systematic action research can bring together the human and computational.

This poster presents, in comics form, the perspectives of those involved in the Collaborative Doctoral Partnership 'Understanding UK digital comics information and publishing practices: From creation to consumption'. The poster aims to share insights into the challenges and opportunities of inter-institutional research and its collaborative methods.

Responding to a call to embrace "digital humanities accents" (Risam 2018) as a radical act towards postcolonial epistemologies, this short paper discusses how a team of software engineers and a humanist is developing a discursive framework to assess fairness in AI for multilingual speech recognition technologies developed for Singlish speakers.

The main aim of the presentation is to present a methodology for the digital elaboration of the maps of voivodeships and the parish sketches by Karol Perthées to create a map of pre-partition Poland in the last years of its existence.

In this study, we are looking for early mentions of basic principles of sustainability in literary texts using machine learning. With a trained CRF-classifier we automatically annotated a corpus of about 70 novels from German romanticism and singled out passages with a high frequency of annotations, which we analysed in terms of a concept of sustainability. We thus test whether the application of machine learning used to operationalise high-frequency phenomena can also help uncover less frequent and highly interpretive aspects of narrative texts.

We present a study of musical arrangements oif concert music for domestic performance through the lens of an English monthly music journal (The Harmonicon). The study is supported by digital annotation tooling built on IIIF, MEI and Linked Data.

This project explores computational uses of pose analysis to investigate questions of directorial style and actorly interpretation in theatrical performances. The process involves developing methods to help performing arts scholars and professionals use pose-data models to capture movement from performances, as well as record, analyze, recreate and remix those movements.

In this presentation we analyze mommy blogs from India as symptomatic of the limitations, potential, and revolutionary possibilities of Digital Maternal Cultures, which demonstrate "the material transformations that the electronic age has brought about" (Raley 2004), as evoked in the CFP for DH2023.

Collective sentiment plays a crucial role in financial markets. In this paper, we present our workflow for creating an index that captures the sentiment at the Berlin Stock Exchange from 1872 to 1930. Based on a historical newspaper, we train three models that provide daily aspect-level sentiment data.

Crowdsourcing in cultural heritage is rich in opportunities for collaborative, interdisciplinary research and practice. This presentation celebrates and calls for input and expansion of a White Paper that sets out current challenges and opportunities, and provides recommendations for the future of crowdsourcing in cultural heritage and the digital humanities.

In our workshop, we invite Digital Humanists to explore the OpenMethods metablog as an innovative publication forum and to strengthen the representation of traditionally underrepresented languages and actors in Digital Humanities - particularly non-Anglophone, under-resourced languages (such as languages with non-Latin scripts) or female tool-makers - on the platform in particular and in the Digital Humanities discourse in general.

This workshop uses the environment created around the HTR-United catalog to demonstrate and discuss how to build a dataset of ground truth for text recognition and document it, and how to use HTR-United and its suite of tools to control its quality and describe it in a standardized way.

This poster covers highlights of the Saving Ukrainian Cultural Heritage Online (SUCHO) initiative, launched days after Russia's invasion of Ukraine in February 2022 as an emergency response effort with over 1,500 volunteers co-working virtually across time zones at a scale not previously seen in DH rapid response projects.

This panel will explore the various aspects of what is involved, not only in conceiving and building a 3D infrastructure, but in creating 3D Scholarly editions and developing the viewers that allow stories to be created around them. It will also explore issues around training the community of the infrastructure.

This paper discusses the use of recent additions to the Semantic Web toolkit, particularly SHACL, to provide true schema validation for graph-based data models such as the one used in the Stemmarest repository for variant text traditions.

Researchers from Temple University and Emory University will present the results of an ongoing collaboration using topic modeling and word2vec to explore the eco-poetics and eco-politics of a digitized 20th century speculative fiction corpus

This paper aims to elucidate the origin and metadata of land surveying maps, which meticulously document the landforms and features of various regions across mainland China between 1895 and 1944. Additionally, the digitization process of this research will be outlined. Furthermore, this paper will introduce the user interface of CHMap from two perspectives: firstly, CHMap as a platform for land survey maps, and secondly, CHMap as a tool for linking maps and images from disparate eras and sources.

The short paper will discuss the data that was generated during the editing of the records of the Imperial Diet of 1576. In a case study we will use data from our manuscript database and from the edited texts to analyse different dates and events mentioned in the records.

In 2023, Digital Humanities Research Institute at Siberian Federal University starts a working prototype of a research digital infrastructure for the aggregation, preservation, dissemination of Siberian historical and cultural heritage for historical, literary, ethnographic, art history and other kinds of research at the intersection of the humanities and computer sciences — Siberiana.online. The aim of the project is to launch a long-term initiative for digitization, analysis, and curation of the different collections of historical, cultural, and natural heritage of the Central Siberia (so-called Angara-Yenisei macro-region). The project is designed for research and education needs of the digital humanists at Siberian Federal University and world over, because Siberian artifacts and collections evoke a steady interest in the current literature.

The TEITOK REST API lets you interact with your corpus remotely - to upload documents in various formats - automatically converted to TEI/XML; to render search results; to run an NLP pipeline on the server; or download the content of corpus document, treat that content locally with local NLP tools or manual annotation tools, and then upload the results back to the server, where the new or corrected annotations will be incorporated into the original TEI/XML document without destroying any of the potentially complex annotations already in the document.

The aim of this poster is to provide an overview of the work carried out in the CLS INFRA project and its conclusions for the field of Computational Literary Studies.