Semantic Digital Humanities
Cultural Heritage (CH) and Digital Humanities (DH) research is characterized by interpretative plurality, evolving vocabularies, highly contextual knowledge, and diverse source materials. Supporting the analysis, integration, and interpretation of this complex data requires structured, machine-understandable representations and advanced computational methods. Semantic Web technologies, e.g., ontologies and knowledge graphs, together with generative Artificial Intelligence (AI) models, offer powerful means to represent and explore cultural knowledge, while also raising new methodological and epistemological challenges.
This special issue aims to advance research at the intersection of Semantic Web technologies, AI, and Digital Humanities by bringing together conceptual, methodological, and technical contributions.
Scope
This special issue welcomes research, resource and survey contributions on the following topics:
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Conceptual and Theoretical Foundations
- Philosophical and theoretical perspectives on Semantic Web technologies in DH and CH
- Formal semantics and modeling of ambiguity, uncertainty, and interpretative plurality
- Ontological commitments and epistemological considerations in DH modeling
- Governance and standardization processes in DH and CH communities
- The role of AI and LLMs in knowledge representation and interpretation in DH and CH
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Ontology Engineering and Standards in DH
- Ontology design methodologies tailored to DH and CH contexts
- Application and extension of foundational ontologies (e.g., BFO, UFO)
- Use and evaluation of domain standards such as CIDOC CRM, FRBR, LIDO, TEI, and MEI
- Alignment and harmonization of heterogeneous metadata and schema standards
- Evaluation metrics, validation techniques, and quality assessment for DH ontologies and KGs
- AI-assisted ontology/KG engineering and alignment
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Infrastructures and Interoperability
- Architectures for DH knowledge graph infrastructures
- Interoperability and cross-domain data integration strategies
- FAIR and CARE principles for cultural heritage data
- Provenance modeling, temporal representations, and trust
- Access control, sustainability, and long-term preservation of semantic infrastructures
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Knowledge Graph Construction, Exploration, and Enrichment
- Methods and workflows for constructing and maintaining DH and CH knowledge graphs
- NLP and information extraction from textual and multimodal sources
- Entity linking, ontology learning, and semantic annotation
- Crowdsourcing and collaborative knowledge graph curation
- Use of Large Language Models (LLMs) and AI for KG construction, querying, and exploration
- Critical assessment of AI methods in DH contexts (e.g., bias, reliability, interpretability)
Guest Editors
- Tabea Tietz, FIZ Karlsruhe and Karlsruhe Institute of Technology (KIT)
- Sasha Bruns, FIZ Karlsruhe and Karlsruhe Institute of Technology (KIT)
- Arianna Graciotti, University of Bologna
- Bruno Sartini, y.digital, Netherlands
- Lise Stork, University of Amsterdam
Timeline
- Submissions: January 31, 2027
- Author Notifications: April 31, 2027
- Revisions: May 31, 2027
- Author Notifications: July 31, 2027
- Publication: Q3/Q4, 2027
Submission
Please follow the the submission instructions for TGDK and select the corresponding Special Issue.
As a Diamond Open Access journal, official versions of accepted papers (as accessible via DOI) are published and made available for free online without fees for authors nor readers.
Contact
For inquiries, please contact the guest editors: tgdk-semdh-si@googlegroups.com