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The Visual Archive Southeastern Europe (VASE), established in 2012, collects historical and contemporary visual material from Southeastern Europe and currently comprises four collections. The article presents the comprehensive redesign of VASE, which affects both the interface and the underlying data model.

Gender-specific knowledge – just like knowledge in general – is generated through discourses that are disseminated through (mass) media. Among the first mass media is the Spectator press (Moralische Wochenschriften) which spread all over Europe throughout the 18th century. With their gender-specific discourses, analyzed in Spectatoriale Geschlechterkonstruktionen (Völkl 2022), they decisively promote the development of a (bourgeois) gender model, shaping the social perception of gender until today. Against this background, the present article examines the gender-specific discourses in the French and Spanish Spectator periodicals by means of topic modeling which detects semantically related words. The study, which originates from the project Distant Spectators. Distant Reading for Periodicals of the Enlightenment (Scholger et al. 2019–2021), shows that topic modeling reinforces previous findings on gender-specific discourses in the Spectator periodicals. Moreover, it offers new perspectives concerning this research corpus.

Twilight Zones describes the detection of a new text corpus in modernity. It also presents the theoretical and methodological model developed for the collection and the analysis of this body of “liminal texts”, the results of the practical use of such a model as well as the concepts guiding the analytical digital anthology which completes the interdisciplinary project. Version of record

The Bocabulario de lengua sangleya por las letraz de el A.B.C. is a historical Chinese-Spanish dictionary held by the British Library (Add ms. 25.317), probably written in 1617. It consists of 223 double-sided folios with about 1400 alphabetically arranged Hokkien Chinese lemmas in the Roman alphabet. The contribution will introduce our considerations on how to extract and annotate linguistic data from the historical manuscript and the design of a digital scholarly edition (DSE) in order to answer research questions in the fields of linguistics, missionary linguistics and migration (Klöter/Döhla 2022). The DSE will be juxtaposing (1) digital facsimiles of the original folios, (2) a diplomatic transcript, (3) a narrow English translation, and (4) critical notes. We will endeavor to expand the possibilities of digital editing by adding the following levels: (5) normalized representation of the original Spanish text, (6) linguistic analysis. The TEI is not only designed to represent written manuscripts, but also to annotate linguistic corpora (Tasovac/Romary, et al. 2018). However, a currently underrepresented topic in the TEI Guidelines is interlinear glossing (as mentioned, for instance, in Bowers 2020: 112 and formalized by the Leipzig Glossing Rules (EVA MPG 2015)) and the application of TEI to indigenous, under-resourced languages, and non-standard varieties (cf. Bowers 2020, Czaykowska-Higgins/Holmes/Kell 2014, Ngué Um 2017). Another concern is the representation of tones, and the additional representation of entries and example sentences with Chinese characters. Although there are more than 200 documented tone languages in the world, most of which are spoken in Asia and Africa (Yip 2002, Maddieson 2013), the TEI Guidelines are still lacking a framework for the annotation of tonal features. One of the project deliverables will therefore be a recommendation for the TEI annotation of tone which we believe will be a valuable service to the community. Bibliography Bowers, Jack. 2020. Language documentation and standards in Digital Humanities: TEI and the documentation of Mixtepec-Mixtec. Computation and Language [cs.CL]. École Pratique des Hauts Études. Online at https://tel.archives-ouvertes.fr/tel-03131936, last access 17 June 2022. Czaykowska-Higgins, Ewa, Martin D. Holmes, and Sarah M. Kell. 2014. Using TEI for an Endangered Language Lexical Resource: The Nxaʔamxcín Database-Dictionary Project. Language Documentation & Conservation 8: 1–37. EVA MPG (= Max Planck Institute for Evolutionary Anthropology, Department of Linguistics). 2015. The Leipzig Glossing Rules: Conventions for interlinear morpheme-by-morpheme glosses. Online at https://www.eva.mpg.de/lingua/pdf/Glossing-Rules.pdf; last access 17 June 2022. Klöter, Henning and Hans-Jörg Döhla. 2022, forthcoming. Early Spanish-Chinese encounters in the Philippines and the birth of Spanish-Chinese lexicography. In: Michela Bussotti/François Lachaud (eds.), Interpreting empires, mastering languages, taming the world: Dictionaries and multilingual lexicons in East Asia. Paris: EFEO. Maddieson, Ian. 2013. Tone. In: Dryer, Matthew S. and Haspelmath, Martin (eds.), The World Atlas of Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. Online at http://wals.info/chapter/13, last access 17 June 2022. Ngué Um, Emanuel. 2017. Issues in digital text representation, online dissemination, sharing and reuse for African tone languages. In: Proceedings of the 2nd Workshop on the Use of Computational Methods in the Study of Endangered Languages, Honolulu, Hawai‘i, 24–32. Online at https://aclanthology.org/W17-0104.pdf, last access 17 June 2022. Tasovac,Toma and Laurent Romary, et al. 2018. TEI Lex-0: A baseline encoding for lexicographic data. Version 0.9.0. DARIAH Working Group on Lexical Resources. Online at https://dariah-eric.github.io/lexicalresources/pages/TEILex0/TEILex0.html, last access 17 June 2022. Yip, Moira. 2002. Tone. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139164559, last access 16 August

Sentiment analysis (SA), one of the most active research areas in NLP for over two decades, focuses on the automatic detection of sentiments, emotions and opinions in textual data (Liu, 2012). Recently, SA has also gained popularity in the field of Digital Humanities (Schmidt, Burghardt & Dennerlein, 2021; Rebora, Messerli & Herrmann 2022). This contribution presents the analysis of a TEI encoded digital scholarly edition (DSE) of Spanish periodicals using a machine learning approach for sentiment analysis as well as the re-implementation of the results into TEI for further retrieval and visualization. This research is situated at the intersection of different projects. On the one hand, it builds on the project Distant Spectators (Scholger et al. 2019-2021), in which a sentiment analysis tool chain was developed (Koncar et al, 2022) for the investigation of 18th Century Periodicals. These Spectators are a European journalistic phenomenon, propagating the social norms and values of Enlightenment by means of a characteristic narrative structure. On the other hand, this contribution constitutes a pre-study concerning the transition from the Spectator periodicals into epistolary novels in Spain – a topic which has remained without in depth analysis until now (Rueda 2001, 33, 181). The Spanish Spectator press consists of 690 issues from 23 periodicals and is available from the DSE The Spectators in the international context (Ertler et al. 2011-2021). The corpus is annotated following the standard of the TEI, considering both the logical text structure and narrative forms (such as reader’s letters, self-portraits, or hetero-portraits) as well as subjects, places, persons, and intellectual works. Our approach to sentiment analysis was based on a manually created and computationally extended dictionary of words from the Spanish Spectator periodicals. Currently, Spanish DH mostly relies on such dictionary-based tools (Moreno-Ortiz, 2017) and small corpora (Torres-Moreno & Moreno-Jiménez, 2020; Barbado et al 2021), while machine-learning approaches (García-Vega et al, 2019; Serrano et al, 2022) are the state-of-the-art in other domains. In this work, we compare our baseline, the dictionary-based SA of 23 Spanish periodicals (in total 690 issues), with a Python toolkit for Spanish SA, pysentimiento (Pérez et al, 2021). Moreover, we explore the variation of sentiments across selected narrative forms in the texts. To evaluate the performance of the current state-of-the-art transformer-based models provided by pysentimiento (Pérez et al, 2021) on our corpus, we conduct an annotation study to create a small evaluation corpus, such as LiSSS (Torres-Moreno & Moreno-Jiménez, 2020). Following the best practices for corpus annotation (Schmidt, Dangel, & Wolff, 2021), we include three expert annotators. Usually, raw text is used for NLP tasks (such as SA). However, for a more detailed investigation, TEI encoded documents allow extraction (e.g. narrative forms) and exclusion (e.g. running heads) of certain text structures. When it comes to literary texts which are challenging for the task of SA due to their style, figures of speech and narrative forms, annotations can yield better classification results. Consequently, the results from the sentiment analysis can be re-implemented into the TEI encoding by using the @ana attribute on structural elements pointing to corresponding categories. This in turn allows exploration of the DSE through visualizations such as distribution of sentiments and sentiment development over time. The results can both facilitate a circular framework of the creation of a DSE as well as support the literary analysis and exploration of Spanish 18th Century Periodicals. Bibliography Barbado, A., Fresno, V., Riesco, Á. M., & Ros, S. (2022). DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels. Language Resources and Evaluation, 56(2), 501–542. https://doi.org/10.1007/s10579-021-09557-1 Ertler, K.-D., Fuchs A., Fischer-Pernkopf M., Hobisch E., Scholger M. & Völkl Y. (2011-2021). The Spectators in the International Context. https://gams.uni-graz.at/spectators. García-Vega, M., Díaz-Galiano, M., García-Cumbreras, M., Plaza-Del-Arco, F.M., Montejo-Ráez, A., Zafra, S. M., Martínez-Cámara, E., Aguilar, C., Antonio, M., Cabezudo, S., Chiruzzo, L., Moctezuma, D. (2020). Overview of TASS 2020: Introducing Emotion Detection. Koncar, P., Geiger, B. C.; Glatz, C.; Hobisch, E., Sarić, S., Scholger, M., Völkl, Y., Helic, D. (2022): A Sentiment Analysis Tool Chain for 18th Century Periodicals. In: Manuel Burghardt, Lisa Dieckmann, Timo Steyer, Peer Trilcke, Niels-Oliver Walkowski, Joëlle Weis, Ulrike Wuttke (Eds.): Fabrikation von Erkenntnis. Experimente in den Digital Humanities. Luxembourg. Zeitschrift für digitale Geisteswissenschaften und Melusina Press. 2022. DOI: https://doi.org/10.26298/ezpg-wk34. Liu, B. (2012) Sentiment Analysis and Opinion Mining (Synthesis Lectures on Human Language Technologies). Morgan & Claypool Publishers, Vermont, Australia. Moreno-Ortiz, A. (2017). Lingmotif: Sentiment Analysis for the Digital Humanities. Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 73–76. https://doi.org/10.18653/v1/E17-3019. Pérez, J. M., Giudici, J. C., & Luque, F. (2021). pysentimiento: A Python Toolkit for Sentiment Analysis and Social NLP tasks. ArXiv:2106.09462 [Cs]. http://arxiv.org/abs/2106.09462. Rebora, S., Messerli, T. C., & Herrmann, J. B. (2022): Towards a Computational Study of German Book Reviews. A Comparison between Emotion Dictionaries and Transfer Learning in Sentiment Analysis. Conference poster. DHd2022. 7–11 March 2022. Rueda, Ana (2001). Cartas sin lacrar. La novela epistolar en la España Ilustrada 1789-1840. Madrid: Iberoamericana. Schmidt, T., Burghardt, M. & Dennerlein, K. (2021). Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays. In: Manuel Burghardt, Lisa Dieckmann, Timo Steyer, Peer Trilcke, Niels-Oliver Walkowski, Joëlle Weis, Ulrike Wuttke (Eds.): Fabrikation von Erkenntnis. Experimente in den Digital Humanities. Luxembourg. Melusina Press. DOI: https://doi.org/10.26298/melusina.8f8w-y749-udlf. Schmidt, T., Dangel, J., & Wolff, C. (2021). SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities. ISI. Scholger, M., Geiger, B., Hobisch, E., Koncar, P., Sarić, S., Völkl, Y.; Glatz, C. (2019-2021): Distant Spectators (DiSpecs). Distant Reading for Periodicals of the Enlightenment. https://gams.uni-graz.at/dispecs. Serrano, A. V., Subies, G. G., Zamorano, H. M., Garcia, N. A., Samy, D., Sanchez, D. B., Sandoval, A. M., Nieto, M. G., & Jimenez, A. B. (2022). RigoBERTa: A State-of-the-Art Language Model for Spanish. ArXiv:2205.10233 [Cs]. http://arxiv.org/abs/2205.10233. Torres-Moreno, J.-M., & Moreno-Jiménez, L.-G. (2020). LiSSS: A toy corpus of Spanish Literary Sentences for Emotions detection. ArXiv:2005.08223 [Cs]. http://arxiv.org/abs/2005.08223.

Historical texts are an important source to understand historical events and societal developments. In traditional literary studies, such documents are analyzed using close reading, which is tedious and time-consuming for large text corpora. Thus, computational literary scholars have adopted and developed automated and quantitative methods that complement and contribute to insights of close reading. In this case study, we show that text complexity measures are meaningful additions to these methods. Specifically, we apply interpretable measures of reading ease and of syntactic and lexical richness to historical texts and show that the obtained quantitative results are consistent with findings from close reading.

The poster presents the idea behind and first steps in the recently started project Distant Spectators. The objective of this project is the application of distant reading and text-mining methods (topic modeling, meme diffusion, stylometry, sentiment analysis, network analysis) to the Spectators press, a journalistic genre of the 18th century Enlightenment, and the combination of these methods with the existing expertise gained from close reading. This will provide an insight into the formation of trans-European ideas, literary techniques and cultural practices by employing quantitative methods to investigate authorship attribution, editorial networks, distribution of topics, transfer of micro-narratives etc. The project builds on an existing and ongoing digital edition project which has been running since 2008 (https://gams.uni-graz.at/spectators). Currently it incorporates approximately 4000 individual texts in six languages (French, Italian, Spanish, English, German, Portuguese) with more than 9 million tokens. The discourses are encoded in TEI, representing the text structure and the narrative forms (e.g. reader's letter, fable, dreams) in the texts, and building registers of names, works, and places.The TEI encoding builds the basis for the computational analysis. The benefit of the application of quantitative methods on the basis of an elaborate TEI model is the flexibility in building collections drawing on the affiliation of single texts to specific journals, to certain time periods, to individual keywords, etc. encoded in the TEI Header. Furthermore, specific textual structures and narrative features can be extracted and analyzed in relation to the entire corpus. A particular challenge is the compilation of a representative corpus for the application of quantitative methods due to the a) multilingual text-corpus, b) brevity of single discourses, and c) short period of publishing. The main objective is to investigate how and which quantitative methods prove useful for the analysis of this multilingual corpus from the 18th century.

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

The multilingual DraCor platform (https://www.dracor.org) represents a valuable resource for literature and theatre scholars, allowing them to host, access and analyse thousands of plays from Antiquity to the XX century. After briefly presenting the workflow for the ingestion of new plays into our ecosystem, we focus on the collaborative side of our endeavours, demonstrating how external scholars can benefit from a range of tools and guides to easily prepare and submit their own collections. As a showcase of the process, we present three corpora currently in production, focusing respectively on Ukrainian, Czech, and Early Modern English literature.

We propose a method to extract orthogonal views of facades from photogrammetric models of cities. This method was applied to extract all facades of the city of Venice. The result images open up new areas of research in architectural history.

This paper offers an understanding of the multilayered methodological framework developed and implemented to carry out a Digital Humanities project. The latter classified systematically visuo-linguistic features in contemporary tourism narratives by means of data-driven tagging models, annotations and statistical measurement of the frequency and variance of strategies across digital channels.

Our Heritage, Our Stories is a collaboration between the University of Glasgow, University of Manchester, and The National Archives, changing how digital content amongst UK communities is collected and curated. This poster outlines project goals, methods, and progress, and showcases new humanities research stories that it will make possible.

The Skills Gap Analysis, a recent survey among scholars describes the current distribution of (self-attested) practical text-processing skills and scholars' despair from the necessary skillset, as well as a perceived absence of "an entry point in(to) CLS education". We argue that corpus analysis is the entry point and why.

Brief abstract: The database "The Chronicle of Modern Translation Literature in Chinese (Periodicals, 1896-1949)" collects 9456 entries on Chinese translation literature from 239 periodicals, involving as many as 2130 translators, 1580 foreign writers, 9456 translated works, and relevant theories and reviews.

Legal issues, especially copyright and personal data protection, are an important consideration in many areas of digital humanities. With a global perspective, this panel features speakers with expertise in legal issues in DH, to discuss longstanding legal issues which can aid or restrict DH research and update the DH community with analysis of new legal developments.

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.

This paper applies multimodal machine learning (CLIP) to distant view the Illustrated London News. After extracting a sample of 874 illustrations, we use CLIP to identify maps and images of steamships. Without task- or data-specific training, CLIP can be used to quickly explore and analyze historical visual data at scale.

I use Singapore's own self-image of its sociopolitical trajectory since independence, as articulated recently by cabinet ministers as a dynamic balancing act between top-down strictures and bottom-up innovation, as a running metaphor/trope for a wide range of algorithms and methods with applications in Digital Humanities in my pedagogy at Singapore.

This panel will discuss career path opportunities and challenges for people doing coding work in DH. The panelists are a diverse group of people with different backgrounds and interests in terms of career path and recognition. Short presentations from each panelist about their experiences will be followed by an open discussion with the audience.

We present a speculative design of handwritten text recognition(HTR), a form of automatic image-to-text recognition, resultingin plain text files of historical materials which can be presentedin a variety of formats (Muehlberger et. al 2019). HTR isbeginning to shift historical methods and practice, from samplingdata to exhaustive interrogation of primary sources (Muehlbergeret al. 2019). The aspiration of recognising the hands of peoplefrom various backgrounds, nationalities, professions, and education,with equal competence, surety and speed, has largely beenrealised (although this remains to be seen for marginalised communities).However, questions of equity, diversity and inclusion inthe technology and tools of HTR are yet to be properly addressed.This paper will adopt a speculative design approach to imaginea minimal HTR design, informing how collaboration and inclusivityare approached in the next stage of its development.

This paper describes the process of gathering, aggregating, harmonizing, and publishing epistolary metadata through collaboration with Finnish cultural heritage (CH) organizations in order to create an inclusive archive for bottom-up analyses of 19th-century epistolary culture in the Grand Duchy of Finland (1808/09-1917). The authors are working in the digital humanities consortium project Constellations of Correspondence (CoCo) [1]. The unified metadata collections are harmonized, linked, enriched, and published on a Linked Open Data (LOD) service, and as a semantic web portal. In Europe, there are several digital humanities projects using well-curated metadata (detailed information about senders, recipients, dates, and places) from edited letter collections - like CKCC [2], correspSearch [3, 4], the Early Modern Letters Online (EMLO) [5][6], Norkorr [7], and SKILLNET [8]. In our project, most of the data come from unpublished collections scattered around different Finnish CH organizations. Collaboration with these CH organizations is pivotal for the successful outcome of the project. It requires a dialogue with them throughout the whole project period in the form of seminars and site visits, as well as sharing blogs and newsletters, also after the organizations have provided their letter metadata. We have also already seen that some of the participating organizations are prepared to clean their metadata or catalogue previously uncatalogued archival material to provide better and more metadata for the project. We will discuss this two-way process using the Finnish National Gallery as a case study. An important challenge yet to be studied profoundly is, if and how the CoCo project will be able to deliver to the CH organizations their metadata in an enriched format. In the first phase of the project, we conducted a survey that was sent to over 100 CH organizations (extending from small local museums to official central archives). The paper describes how the information was collected and how the survey was constructed in order to provide us with detailed enough information regarding their 19th-century collections and metadata formats. At the same time, we had to keep the query succinct in order to make the answering as effortless as possible. As to the data processing, we began with more than 350 000 letters, from eight different sources, each in its own digital format. Although the received data is mostly structured, we needed to parse running text to retrieve metadata in nearly every collection. Moreover, we had to analyze each dataset and identify possible structural mistakes. Furthermore, some records required Natural Language Processing to get actor names (e.g. senders, recipients) in dictionary format. The most difficult task has been to process word files which contain correspondence metadata in a variety of formats, easily understandable to humans but difficult for computational processing. A harmonizing data model for epistolary metadata collections was developed, which builds on international standards like CIDOC CRM to promote interoperability. The most central classes are Letter, Place and Actor. Also, provenance and archival information are included. Finally, the actor data is enriched by linking it to external databases like Wikidata and the Finnish AcademySampo and BiographySampo. These external sources provide detailed biographical information, e.g., times and places of birth and death, name variations, occupations, or genealogical relationships. Information present in the letter metadata like actor names and times of sending and receiving is used for matching entities between our data and the external databases, and further to reconcile the actors between data sources. References [1] J. Tuominen, et al., Constellations of Correspondence: a linked data service and portal for studying large and small networks of epistolary exchange in the Grand Duchy of Finland, in: 6th Digital Humanities in Nordic and Baltic Countries Conference, 2022. URL: http://ceur-ws.org/Vol-3232/paper41.pdf. [2] C. van den Heuvel, Mapping knowledge exchange in Early Modern Europe: Intellectual and technological geographies and network representations, International Journal of Humanities and Arts Computing 9 (2015) 95–114. doi:10.3366/ijhac.2015.0140. [3] S. Dumont, S. Grabsch, J. Müller-Laackman, correspsearch – connect scholarly editions of correspondence (2.0.0) [web service], Berlin–Brandenburg Academy of Sciences and Humanities, 2021. URL: https://correspSearch.net. [4] S. Dumont, correspSearch – connecting scholarly editions of letters, Journal of the Text Encoding Initiative (2016). doi:10.4000/jtei.1742. [5] URL: http://emlo.bodleian.ox.ac.uk. [6] H. Hotson, T. Wallnig (Eds.), Reassembling the Republic of Letters in the Digital Age: Standards, Systems, Scholarship, Göttingen University Press, 2019. [7] A. Rockenberger, et al., Norwegian correspondences and linked open data, in: Proceedings of the Digital Humanities in the Nordic Countries 4th Conference, volume 2364 of CEUR Workshop Proceedings, 2019, pp. 365–375. URL: http://ceur-ws.org/Vol-2364/33_paper.pdf. [8] Sharing Knowledge in Learned and Literary Networks – The Republic of Letters as a Pan-European Knowledge Society (SKILLNET), URL: https://skillnet.nl.

The DiÖ Sprachatlas tool is a dynamic map creation tool which uses the corpus of a large-scale variationist linguistics project as its source. By utlizing an API, it creates maps on negligible cost. Additionally, it offers a method of making the total corpus transparent and accessible.

The poster will present the project "Between Composition and Reception: the Authority of Medieval Charters" and discuss what role machine learning methods can have for the human interpretation of late medieval charters as means to convey authority, esp. regarding their graphical aspects

The workshop introduces participants to the use of Semantic Web Technologies and Linked Open Data in Digital Historical Studies with a special focus on Wikidata. These topics are highly relevant for knowledge representation in the Digital Humanities and especially important for collaborative processes of analyzing and sharing data.

Citizen science is becoming a common tool to index historical records. We use cluster analysis on the engagement of participants in the 'Historical Database Suriname and Curaçao' citizen science project to build user profiles. These engagement patterns can be used to enhance and sustain participation of citizens.

This short presentation offers insight into the development process of a digital edition of archived social media. The presentation will outline general design choices and provide insight into the schema development as well as outline challenges.

This contribution presents the difficulties encountered and methods to overcome them when using ready-to-use tools for the elaboration of a processing chain going from OCR to NER and then to the cartographic representation of spaces mentioned in literary texts.

This panel will explore the processes of establishing an evidence base for the development of a new Digital Humanities Association for the UK and Ireland. Presentations will discuss: the landscape of DH in the UK and Ireland; the development of a values-led organisation; community, consultation and inclusivity; the importance of advocacy for DH and the role of a DH Association in national policy-making; and the centrality of training and the development of career pathways in and from DH. A concluding presentation will reflect on the value of international collaboration, both between Ireland and the UK and among international subject associations and infrastructures.

Issues of Social Justice, broadly conceived, are increasingly being included as a component in digital humanities scholarship or are the reason d'etre of the research itself. Equally, issues of ethics, privacy, and copyright are taking on greater prominence in DH scholarship. This short paper focuses on the creation of a course for the #dariahTeach platform, Social Justice in the Digital Humanities: Diversifying the Curriculum.

We are building a multi-modal entity resolution tool that utilizes the spatial, temporal, and textual information about a pair of place records to help identify the semantic relation between them. We plan to share our progress towards the integration of knowledge sources related to the history of the Middle East.

During the year 2021 we carried out intensive archaeological surveys at several sites of Roman chronology in the Iberian Peninsula. The recording of materials in the field was carried out using GPS. The data collected have allowed us to characterise them, at least partially, by inserting the data into GIS.

We develop a practical computational methodology based on memes theory for studying historical cartography. We also propose to investigate the limits of replication fidelity, and the link between memes and their expression, through a case study on the Napoleonic cadastre.

The proposed paper will discuss collaboration between various stakeholders in the open access publishing ecosystem in Poland and the current challenges in developing new sustainability models for publishing digital research outputs, particularly monographs, in OA.

A collaboration between the Linked Art II project and Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) has led to a reconfigurable Python-based workflow to transform cultural heritage data, initially photographic collections, into Linked Open Usable Data (LOUD), as a foundation for varied participatory interfaces supporting scholarship and beyond. Motivation PIA, led by the University of Basel and the Bern Academy of the Arts, aims to encourage participation from scholars and the wider public through three collections from the photographic archives of the Swiss Society for Folklore Studies (SSFS): The Atlas of Swiss Folklore, Ernst Brunner, and Kreis Family. PIA aims to create multiple interfaces reflecting diverse perspectives by deploying community-developed LOUD specifications such as the International Image Interoperability Framework (IIIF) and Linked Art, an RDF application profile (JSON-LD) based on CIDOC-CRM to describe object-based cultural heritage. In collaboration with the University of Oxford via the Linked Art II project, PIA has transformed their cultural heritage collection data into Linked Art using templates, which encapsulate the data characteristics and cataloguing practices. A Linked Art API will provide an additional entry point, as a means of conveying semantically enriched events and as a benchmark against other collections leveraging this model. Python-based Workflow To generate Linked Art files for the combined PIA collection a data transformation workflow has been created through which PIA templates were encoded in Python for a given Linked Art API entity endpoint, currently: DigitalObject HumanMadeObject and Set. The workflow, described in a use case example with a photograph from the Ernst Brunner collection, provides a three-step software process for transforming data into Linked Art. Query: The first Python script extracts collection data from the (legacy) PIA JSON API. YAML front matters are used for script variables. The filepath for the relevant .yaml file is specified as a script argument throughout the workflow. For our example, the script queried data for all images looking for DigitalObject entities (one of the variables) and the object's metadata that are stored come specifically from https://json.participatory-archives.ch/api/v1/images/12033} Map: Templates are used to map collection data to an intermediate JSON data format. The intermediate JSON data format means that the later transformation script that creates Linked Art JSON-LD does not necessarily need to be modified if a new data source is introduced. Transform: The intermediate JSON data format is transformed to Linked Art with Python functions that define ‘patterns’ (for example classified_as) for representing different aspects of photographic collection data as Linked Art. Future Work The SSFS will migrate its database into the DaSCH Service Platform (DSP) and amend their data model which will affect PIA, requiring an upgrade of its infrastructure and APIs. The workflow for creating Linked Art representations will have to be reconfigured and repurposed with different data sources. After the migration of the SSFS database, the PIA team will investigate remaining issues in the GitHub repository regarding the correct mapping of Linked Art entities and attribution of IDs. The team will work to ensure that the appropriate Linked Art modelling is achieved through the workflow. Conclusion The reconfigurable Python-based workflow is able to transform cultural heritage data, initially photographic collections, into LOUD, as a foundation for varied participatory interfaces supporting scholarship and beyond. The adaptability and extensibility of the workflow allows for potential future transformations of data from other collections to Linked Art. Acknowledgements This work has been supported by the PIA research project which is funded by the Swiss National Science Foundation (SNSF) as part of the Sinergia funding scheme (contract no. CRSII5_193788) and by the Linked Art II project at the University of Oxford (Principal Investigator: Dr. Kevin R. Page, Oxford e-Research Centre) funded by the UK Arts and Humanities Research Council (AHRC project reference AH/T013117/1)., This poster is related to the extended abstract that is published as part of the DH2023 Book of Abstracts. All versions are identical, only the malfunctioning QR code was replaced., {"references":["Newbury, David (2018): 'LOUD: Linked Open Usable Data and linked.art', in 2018 CIDOC Conference. CIDOC Annual Conference, Heraklion, Greece: International Council of Museums, pp. 1–11. [01.04.2023].","Page, Kevin R. / Delmas-Glass, Emmanuelle / Beaudet, David / Norling, Samantha / Rother, Lynn / Hänsli, Thomas (2020): 'Linked Art: Networking Digital Collections and Scholarship', in DH2020 Book of Abstracts. Digital Humanities 2020, Online, pp. 504–509. [01.04.2023].","Raemy, Julien Antoine / Demleitner, Adrian (2023): 'Implementation of the IIIF Presentation API 3.0 based on Software Support: Use Case of an Incremental IIIF Deployment within a Citizen Science Project', in Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. Cham: Springer International Publishing (Lecture Notes in Computer Science). Unpublished paper presented at the International Conference on Digital Heritage, Limassol, Cyprus, November 7-11, 2022.","Sanderson, Robert (2018): 'Shout it Out: LOUD'. EuropeanaTech Conference 2018, Rotterdam, the Netherlands, 15 May. [01.04.2023].","Sanderson, Robert (2019): 'Keynote: Standards and Communities: Connected People, Consistent Data, Usable Applications', in 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Urbana-Champaign, Illinois, USA: IEEE, p. 28. DOI: 10.1109/JCDL.2019.00009."]}

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