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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.
In recent years, the alignment of Artificial Intelligence technologies with people’s behaviors and worldviews has become a central topic for several sectors of Computer Science. The pervasive diffusion of Large Language Models (LLM) inside and outside the academic sector requires important efforts to ensure fairness and representativity towards all social and cultural groups, potentially considering different identities that characterize potential end-users of these technologies.
In 2025, Dagstuhl Publishing combined continued expansion in its publications with substantial work on infrastructure, accessibility, workflows, and sustainability, further strengthening its role as an open-access publisher for computer science.
Generative Artificial Intelligence (GenAI) is rapidly transforming the ways in which research is written, reviewed, and communicated. To address both the opportunities and the challenges associated with these technologies, Dagstuhl Publishing (Schloss Dagstuhl – Leibniz-Zentrum für Informatik) has published a new Statement on the Use of Generative Artificial Intelligence (GenAI).