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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.

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 In our project, most of the data come from unpublished collections scattered around different Finnish CH organizations.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 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.

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 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 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.

We present the development of a richly annotated corpus of historical proceedings of the Carniolan Regional Assembly, which was the highest legislative body of the autonomy of the Carniola Herzogtum of the Habsburg Empire. We focus on the procedure used to convert the OCRed scans into Parla-CLARIN TEI encoded documents.

We present our ongoing effort to develop Rekall-IIIF, a platform that aims at providing an extensible software base for all communities in need for multimedia and multimodal annotation tools. It is modular, Open Source and built on the IIIF standard (https://iiif.io/).

The improvement of the automatic transcription of manuscripts relies on an easier access to training data of good quality (ground truth). HTR-United offers a solution to find and document such datasets, potentially creating a common. We present the set-up of this ecosystem and its main outcomes.

We will present challenges for a digital edition of an 18th-century gazetteer with 18000 entries on places in the Americas. Challenges range from OCR via applying TEI (dictionary module), orthographic variance, homonym disambiguation and coverage in "matching resources", to the extensive use of relative terminology for places in the prose.

OPERAS Innovation Lab provides targeted guidance for scholars seeking to disseminate their outputs in an innovative way. This poster presents three case studies of workflows for innovative scholarly communication: 1) toolkit/anthology; 2) interdisciplinary online journal; 3) software services. The workflows will serve as blueprints for SSH scholars.

The use of computational approaches with legacy catalogue descriptions enables new insights into their authors' historical perspectives, and provides the means for their evaluation and transformation into contemporary online catalogue records. I discuss my computational research with the historical catalogues of the British Library collection of pre-1500 published books.

Using the original, manually applied labels, this poster presents whether early modern legal texts can be automatically labelled through AI. Using Annif (by the National Library of Finland) the applicability of the tool to early modern handwritten texts is and its various backends (e.g. TF-IDF; Omikujji, and fastText) are tested.

OHCH is developing a digital transformation plan based on smart-city concepts. The digital collections management system is presented, a virtual space where digital objects are shared to give universal and collaborative access to Cuban cultural wealth. Innovation and collaboration have been the keys for the development of digital collections.

This poster presents the collaborative creation of a dataset of 100.000+ pages of handwritten police reports as a successful example of large-scale digitisation initiatives by small-scale research projects. It shows efficient solutions for applying Handwritten Text Recognition techniques on challenging historical documents and for bypassing noisy training material.

PUDEL is a new service for sharing and documenting DH data models. It is developed as a free and open-source software, and can easily be included into existing DH research practices. It provides institutions, researchers and specialists with the tools for sharing and preserving their data models.

Artificial Intelligence (AI) technologies such as Deep Learning and Transfer Learning are rapidly advancing text and image classification in many disciplines (e.g., Lucas et al. 2022, Huang et al. 2022, Kumar et al. 2020). With the progressing digitisation of cultural heritage, AI increasingly finds applications in arts and humanities disciplines as well (Cetinic et al. 2019, Saleh / Elgammal 2016). It is evident that AI technologies open new possibilities for processing and analysing large, heterogeneous historical data corpora in a semi-automated way (Im et al. 2022). But do they have the potential to “overturn intellectual legacies” and to revolutionise the field? In the project Ottoman Nature in Travelogues (ONiT 2023) we strive to leverage the application of AI technologies to historical research by developing an interdisciplinary methodological framework for the semi-automated, AI-driven analysis of text–image relations. Our object of study is a large multilingual corpus of travelogues printed 1501–1850 (Rörden et al. 2020) that contains representations of Ottoman “nature” (i.e., flora, fauna, landscapes) both in text and image. This short presentation focuses on our first results achieved for improving image classification of historical prints (i.e., mostly woodcuts, engravings, and etchings). We present our approach to robustly identify and classify key image types in our corpus and discuss challenges and lessons learned during this process. &nbsp

Manu McFrench is a handwritten text recognition (HTR) model dedicated to French texts from the modern and contemporary periods. It was trained using data generated through the CREMMA infrastructure and/or shared via the HTR-United catalog. We demonstrate its usefulness to reduce the costs of training such models for specific handwritings.

The main objective of CrowdHistory project is to identify, analyse, test and standardise methodological practices of citizen participation in Spanish R&D projects from the perspective of Digital Humanities, both within and outside the academic field.

The theatrical agency of the Viennese court between 1758 and 1763 is documented by Philipp Gumpenhuber's chronicle, an unique and exceptional source that offers insights into the theatrical, social, and political court life. The project's aim is to create a scholarly digital edition (GuDiE) of the theatre chronicles.

The tutorial demonstrates a workflow that we developed for the text-based digital classification of an early modern advertisement newspaper which allows for subsequent and dynamic classification of the single ads according to the researcher's interest. It also shows how this approach could be applied to similar publications, using our R-package.

W. H. Auden was among the most influential twentieth-century poets. New digital-edition projects aim to contribute to investigating his life and work in Austria. While the model of 'assertive edition' helps to address both philologically- and historically/biographically-oriented research interests, this paper will focus on formally representing uncertainty and editorial interpretation.

Based on ongoing research in the collaborative Digital Theological Hobbes (DTH) project, this long presentation aims to showcase the benefits of a textometric approach to the elaboration and exploitation of a machine-readable model of Hobbes's Bible in the English political works relying on the TXM software platform.

Living with Machines rethinks the impact of technology on the lives of ordinary people during the Industrial Revolution. The project queries metadata for large-scale newspaper collections. This poster describes the workflow of building a database infrastructure that facilitates quicker and easier humanities research on heterogeneous and complex newspaper data.

The goal of this project is to create structured metadata for the Women Film Pioneers Project (WFPP), enrich it with authority data, and link it in a sustainable way to other datasets on women film pioneers. The poster outlines the methodological approach of the project and presents preliminary results.

The Digital Humanities Institute is currently prototyping methods to offer rapid deployment of DH technology in situations of crisis. The aim of this project is to collect, systematize and digitize the inscriptions on the monuments of Armenian cultural heritage in Nagorno-Karabakh. 3D models will be built when possible.

With this paper we would like to reflect on Proyecto Humboldt Digital's strategy for building digital capacities –that is, learning new skills and methodologies at an individual and organizational level– through collaboration. The international collaboration established in Proyecto Humboldt Digital (ProHD) has not been limited to carrying out a technical workflow but continuously organizes the exchange of research activities and experiences, and builds on a wide set of both internal (team oriented) and external (community oriented) training activities. Despite restrictions during the COVID-19 pandemic, short stays in both Havana and Berlin have taken place since 2019 as well as monthly meetings in virtual format; more recently, in 2022 an international DH conference and a workshop about digital scholarly editions took place in La Habana (Cuba) organized by the team members. During these encounters, we were able to define software requirements, present our main results, share the main issues and progress made in retrospect, and plan our following activities in order to publish online a collection of texts related to Alexander von Humboldt's trip to Cuba in the 19th century.

The poster will report on a new edition of Peter of Poitiers' "Compendium historiae". The highly visual chracter of the work makes editing a challenging task and the project team will report on preliminary work during the first year and present an outlook on future work and the project goals.

This poster presents 'First-Hand Accounts of War: War letters (1935-1950) from NIOD digitized' and reflects on how an interdisciplinary team at the intersection of archival science, history, and digital humanities collaborated in transforming 'paper archives' into enriched digital datasets of historical war correspondence.

This panel discusses the Pelagios Network, a decade-long collaboration that has been developing methods, tools and communities for linking Humanities resources online. Our discussion will focus on managing a series of collaborative tensions between decentralisation and coordination, sustainability and development, and individual needs and community growth.

Kao is a stylized signature used in East Asian cultures. Its location and size are important elements of document manners. This study explores information about their location and size in images through numerical summarization and visualization, and provides quantitative results that support existing tacit knowledge.

This CATMA (Computer Assisted Text Markup and Analysis) workshop is intended for users with some preliminary experience with manual digital annotation who (want to) operate with larger amounts of annotation data in the context of their own work or research projects. It will demonstrate the basic features of CATMA and how annotation data can be processed using either the Python package GitMA (Vauth et al. 2021) or the web-based visualization tool vis-À-vis (Münz-Manor et al. 2020). The workshop will provide answers to questions like: How do I access my CATMA annotation data via GitMA? How do I calculate the agreement between multiple annotators? How do I generate advanced visualizations of the texts and annotations in vis-À-vis? How do I visualize collaboratively created annotation data stored in multiple collections?

The presentation discusses the notion of a "Proto-edition" which combines a pure visual representation of text with a deep description skipping the transcription of the text. It relates it theoretical models like Patrick Sahle's text wheel (2013) and the use of artificial Intelligence for creating "artifical editions" (Stutzmann at IMC 2019).

The poster aims to present (and discuss) the networking approach of the edition humboldt digital, which make extensive use of external data and web services.