2024:Program/Linked Open Data in the Humanities: The LODinG Project
Session title: Linked Open Data in the Humanities: The LODinG Project
- Session type: Poster
- Track: Open Data
- Language: en
This poster presents a project titled 'LODinG – Linked Open Data in the Humanities'. This contribution outlines a research initiative that explores the intersection of Linked Open Data and various disciplines within the humanities. LODinG focuses on collecting, modeling, linking, releasing, and analyzing machine-readable information relevant to research in digital humanities. The project aims to develop a modular, cross-domain data model for the humanities using the Linked Open Data paradigm.
Description
[edit | edit source]The proposed poster presents the LODinG project. It outlines the main research areas of the project and emphasizes an interdisciplinary approach to building a modular ontology using Linked Open Data (LOD) and the Wikibase ecosystem. This research initiative aims to create and utilize knowledge networks that facilitate querying, statistical analysis, data visualization, and linking to other open datasets. This is achieved through formal modeling of relevant entities based on the definition and use of a modular, human-generated ontology. The proposed poster provides an overview of the work areas covered by the LODinG project. It explores the potential of LOD for research in digital humanities, with a particular focus on linguistics, translatology, law, as well as cultural and media studies. To do so, the poster highlights the various fields in which the Linked Open Data paradigm can be applied, including lexicography, German and Romance philology, Sinology, translatology, cultural and literary studies, information science, and law.
The project relies on multilingual and multimodal resources that can be both contemporary or historical. For instance, in one of its work areas, LODinG combines visual and lexical data in multimodal indexing processes to explore the potential benefits of integrating text and image recognition within a specific domain. This part of investigation also seeks to discover the potential of combining text and image analyses to build more robust knowledge graphs. Another focus area of LODinG is concerned with multilingual data. Its objective is to support scientific literature abstracts with automatically-generated LOD statements that are relevant to effective information extraction and analyses across languages. In yet another focus area of LODinG, the goal is to employ standardized entity identifiers to build a modular ontology that supports federated queries and hence contribute to the enhancement of knowledge graphs. The results of this phase of LODinG will help re-evaluate current query techniques and ontology architecture. Through our membership in the Wikibase Stakeholder Group, LODinG aims to further contribute to the development of the Wikibase ecosystem by enhancing its workflows and tool chains.
In addition to developing new applications of linguistic Linked Open Data, LODinG aims to provide guidance for other interdisciplinary research projects, such as best practice guidelines for those exploring the potential of LOD in the humanities. Such practical manuals may appear useful to scholars in various fields including linguistics, computational linguistics, translation studies, digital lexicography, law, scholarly editing, and cultural studies. Overall, LODinG presents a potential to create a multidisciplinary platform for exploring the effectiveness and necessity of domain-specific solutions in digital humanities, while discovering the potential for a holistic LOD infrastructure.
- How does your session relate to the event theme, Collaboration of the Open?
A central theme of the proposed session is to find the ways of interlinking various disciplines within the humanities using the Linked Open Data paradigm.
- What is the experience level needed for the audience for your session?
Everyone can participate in this session
Resources
[edit | edit source]Speakers
[edit | edit source]- Jacek
- The presented project is coordinated by the "Trier Center for Digital Humanities" at Trier University. This research consortium runs several research project within the areas of Lined Open Data and Digital Humanities.