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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

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.

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 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.

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 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.

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.

RDF-star is the technology best suited for the creation of LOD- based editions of metadata-oriented documents such as travel jour- nals. Respectively, SPARQL-star is a powerful tool to query and analyze knowledge graphs with respect to the stored metadata in- formation for triples. We developed an RDF-star-based ontology for travel journals; as a prototype, we have used Jacob Bernoulli’s travel journal Reisbüchlein.

Establishing and operating research infrastructures designed for long-term use is a challenge. This holds especially true in small to medium scale institutes carrying out short-term projects. In our presentation, we would like to describe our approach to building an infrastructure for collecting and linking local cultural heritage data in Saxony.

This contribution focuses on the dissemination of mythLOD data. Two visualisations have been developed to represent the relations between museal and bibliographic sources preserved in the Knowledge Base. mythLOD is presented as a case study to highlight that the visualisation of narratives is not just a matter of interface, but a new service to acquire new knowledge from data.

OpenAtlas (https://openatlas.eu/) is an open source database software used to acquire, edit, and manage research data from various fields of humanities. By using OpenAtlas, information entered is mapped to CIDOC CRM in the background. Types can be added dynamically and make OpenAtlas usable for different projects.

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/).

This contribution explores the instructive tensions between art-historical research and semantic data modeling. While the potential of LOD-applications is obvious in terms of standardization and precision some aspects of research may not be formally represented. Therefore we propose to bridge LOD and full text descriptions through information visualization.

This long paper examines the affordances and challenges in interdisciplinary collaboration between researchers, projects and contemporary digital research infrastructures for the analysis of ancient narratives. Our case study is Pausanias's Description of Greece a 10 volume 2nd century CE traveling guide to Greece.

We propose HIMIKO (Historical Micro Knowledge and Ontology) as a package containing a model and editing system for collecting pieces of historical knowledge scattered in the documents. The model enables help historians to construct document-based Historical Linked Data and brings a new perspective on the digital analysis of historical data.

Mapping Color in HIstory compiles pigment analysis data from existing and on-going research on scientific analysis of pigments for historical research. As a digital humanities project at the intersection of art and science, multidisciplinary collaboration is at its heart. The paper will introduce the project and discuss methods and contributions.

The panel has as its focus how collaboration in and implementation of DH methods has opened up a) new knowledge networks in the (conservative) field of Pietism and Religious History and b) transformed understandings of traditional disciplinary structures and hierarchies.

A blueprint for establishing a workflow for generating research data in humanities research projects using the example of the project Exil.Trans. FAIR criteria as well as Linked Open Data principles and ontology-based modeling are addressed.

This half-day workshop discusses the Taxonomy of Digital Research Activities in the Humanities (TaDiRAH) as a collaborative community effort in the context of multilingualism, and its role as a tool in research data management. It brings together previous collaborators and those interested in shaping TaDiRAH further.

The poster will reflect on significant waypoints in the course of creating the data model for SemanticKraus – a project concerned with integrating different Karl Kraus-related research data, converting it into Linked Data, and by doing so linking past and future Kraus research to the Semantic Web.

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.

This paper utilizes the concept of remediation (of research conceptualization, of data, and by interfaces) to describe the processes developed by Linked Infrastructure for Networked Cultural Scholarship (LINCS), a Canadian infrastructure project for mobilizing Canadian scholarship through the creation, dissemination, and use of linked open data (LOD).

Participants are invited to explore modelling and annotation through exercises demonstrating music research conducted in Oxford and Vienna. After hands-on ontology design exercises with pen and paper, they are introduced to cutting-edge digital tooling and led through research processes of an ongoing project investigating the Vienna Philharmonic's New Year's Concerts.

Humanities textual data is full of references to persons and locations given in various languages. Researchers want to perform queries to retrieve data, in which a certain place or a person is mentioned, irrespective of the language of the text. In this paper, I present how we automatically extract named entities (geolocation information and person references) from textual data and homogenize and store them as Linked Open Data (LOD) with unique identifiers such as the GeoName ID and the GND (Gemeinsame Normdatei) number. Then the plain references in the text are substituted with standoff links to the corresponding RDF resources and the textual document is stored in RDF format. This enables humanities scholars to perform advanced SPARQL queries to collect textual resources containing specific references regardless of the language of the text. Furthermore, the relations between these named entities can be parsed from the text based on ontology definition, dependency graph of sentences, and POS tags to be added to the knowledge graph. Since the citability of the information is crucial for humanities research, this workflow adds the metadata regarding the source document of extracted information to the edges of the knowledge graph using RDF-star. This allows queries for documents containing a certain relationship between entities through SPARQL-star.

This poster describes the World Historical Gazetteer project software platform (WHG), with a particular focus on its collection-building features. The WHG is linking and providing access to records of historical place attestations contributed by researchers working in numerous fields within the humanities and social sciences.

Providing digital representation of critical discourses in addition to and complementing traditional semantic annotations is a central topic in recent knowledge representation discussions. This includes, e.g., provenance information, evolving knowledge, and metadata versioning. The Cultural Heritage domain (CH) (and LOD datasets thereof is exemplary of this problem, rich in incomplete data, subjective analyses, concurring statements and controversies between annotators. Accurately representing this complexity helps towards computational analyses of critical discourses in the Humanities. Wikidata supports some complex representation of data, even allowing multiple and possibly competing assertions and versions of the described entities. Within the activities of our research proposal (Daquino et al. 2022), we surveyed Wikidata approaches to represent complex knowledge: (1) ranked statements, (2) "nature of statements" qualifiers, (3) null-valued objects. In this work we examine whether complex knowledge about Cultural Heritage can be satisfactorily represented in Wikidata KB, and whether existing representation methods exhaustively represent CH domain.

This research, within the framework of computational archives, inspects a novel approach to representing intangible knowledge in traditional martial arts. The methodology presents a unity of ontological modeling, semantic annotation, and feature-based machine learning to display, (re-)interpret, and transmit embodied knowledge using multimodal digital archives.

RDF formalisations are spreading and offer support for describing complex information such as provenance, contexts and uncertainty, while visualisation paradigms able to represent them efficiently are still lacking. This gap offers the opportunity to build onto the standard visualisations using non-representational approaches, user-centred design, and evaluation methodologies.

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.

Composed to mark Franz Joseph's state visit to Wilhelm II, Strauss' Kaiser Walzer (Emperor Waltz) provokes the question: which Emperor was it for? We investigate this in a case study of interdisciplinary collaboration in digital musicology, employing a FAIR data multimedia corpus associated with the Vienna Philharmonic's New Year's Concerts.

Bibliographical data are one of the most important types of data for data-driven research and curation in the humanities. The goal of the panel is to introduce various aspects of current bibliographical data ecosystem which is shaped by constant interactions between various public and private stakeholders.

The workshop aims to share theoretical and practical knowledge about modeling data in the humanities and especially literary history in the paradigm of Linked Open Data, to introduce the syntax of the query language SPARQL, and to demonstrate the advantages of modeling and providing data as knowledge graphs.

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 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.

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.

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."]}

I create and implement a digital workflow for the retrieval and annotation of text relevant for the study of strikes from three major collections of digitized German historical newspapers (late 19th Century).

Provenance texts contain information on the different parties involved in the events that characterize the ownership history of an artwork. Structuring provenance data represents an opportunity for institutions to not only be users of but also contributors to shared vocabularies, such as the Getty's Union List of Artist Names (ULAN).

This poster presents the proposal for a web-based tool designed to create graph-based digital commentaries. The tool is based on the Web Annotation Data Model and allows collaboration of several users in the preparation of a commentary.

CreoPhon is a pilot database that, for now, only includes Portuguesebased creoles (CreoPhonPt). Its mission is to collect sound phonological data about these languages systematically, to put together a findable, accessible, interoperable, and reusable dataset, and to, by using these data, produce studies that describe so-called "creole phonology" and spread it among the scientific community and the general public.

The scientific instruments of the C18th/19th centuries are complex, consequent artefacts, encoding experimental possibilities, older craft knowledge and, frequently, colonial control. Surviving examples are often uniquely well-travelled: globally, locally and within collections. The paper considers the used of Linked Open Data to trace their physical and conceptual itineraries over time.

This paper presents the first release of a graph database of derived data of online fiction corpora taken from various sources in five different languages (English, Spanish, Italian, Indonesian, Korean).

Our poster discusses HI's activities to construct a data structure and its operations in Japanese history for long-term utilisation and future issues related to multidisciplinary links. It focuses on specific repositories and examples of metadata exchange.

Digital intellectual history should concern itself with the history of words or constellations of words rather than the history of 'concepts'. In fact, this is what digital historians of concepts are already doing. We should begin to acknowledge this explicitly.

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.

We aim to introduce a comprehensive workflow for the enrichment and linking the metadata of a literary corpus, including an implementation of FAIR principles, which have been developed in the field of scientific data management. We will present the practical application of the workflow using a corpus of Polish novels.

We create a Knowledge Graph for Humanities research. Starting with a multidisciplinary dataset of 25,000 OCRed JSTOR papers, we use Deep Learning methods to filter out OCR noise, extract and interrelate research activities, methods and goals, associate them with metadata and transform each paper into approximately 200 RDF triples.