CfP: Graph Technologies in the Digital Humanities: Modelling, Access, Comparison
- Flexibility versus Interoperability
Graphs are versatile structures able to express highly specific data, information, and interpretation. This facilitates humanities research, marked as it is by heterogeneous data, situated interpretation, complex research questions, and project-specific ephemeral research design. At the same time research institutions, data repositories, research infrastructures, and digital archives require standardization of data and interoperability of tools to facilitate their sustainability and reuse. Are these two features fundamentally at odds with each other, or can they be different sides of the same coin?
Closely related to the first key topic is the question of modelling in graph structures and possibilities of generalization. Can we define generic terms, concepts, and structures from which discipline-specific annotation systems can then be developed? What does a minimally-sustainable humanities-oriented generic graph data structure look like, and is it possible with such a structure to support the highly specific semantics required by most humanities research?
- Approaches to Querying and Access
To support different research strategies it is paramount that interoperable research data repositories support adaptable query and information retrieval approaches. Several graph-oriented query languages exist (e.g. GraphQL, OpenCypher, Gremlin, SPARQL), but what requirements should be set for a graph query language geared especially towards humanities research data and questions? What can such strategies look like? Are there opportunities to find interdisciplinary approaches here?
We welcome proposals for theoretical papers that engage substantially with any of these key topics, as well as for practice-based papers that describe the practical application of graph technologies to humanities research work to these topics and/or argue practical engineering solutions and approaches to these key questions or related topics such as:
- Graph-based data models, theoretical and practical explorations
- Applications of graph technologies in the humanities
- Text-as-Graph (TAG)
- Solutions for query and comparison of different graph models
- Strategies for, or demonstration of, various kinds of (computational) access to humanities data and information represented as graphs
- Graph representation of specific networks of persons, objects, and information relating to humanities research questions
- Interacting with graphs and graph interaction design
- Graphs as a solution for information and data annotation in the humanities
- Graphs as models for representation of provenance and transmission of information
- Graphs as models for historical data and information, above and beyond social network analysis
- Engineering solutions to analysis, traversal, querying graph structure data in specific humanities research contexts
- The comparison and interpretation of graphs, subgraphs, and traversals
A keynote by Prof. Dr. Thomas Stäcker, Director of the State and University Library in Darmstadt, will be presented at the conference.
- Prof. Dr. Tara Andrews (Universität Wien)
- Dr. Andreas Kuczera (Akademie der Wissenschaften und der Literatur Mainz)
- Dr. Thomas Efer (Universität Leipzig)
- Franziska Diehr (Stiftung Preußischer Kulturbesitz, Berlin)
- Dr. Elena Spadini (University of Lausanne)
- Drs. Joris van Zundert (Huygens Institute for the History of the Netherlands, Amsterdam)