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Article Image: TGDK- CfP Special Issue: Rules and Reasoning for Graph-Based Data & Knowledge

TGDK- CfP Special Issue: Rules and Reasoning for Graph-Based Data & Knowledge

/ Michael Didas

Rules, ontologies and other logic-based forms of knowledge representation are increasingly used to represent and reason over graph-based data and knowledge. Such representations and reasoning processes may operate under different assumptions, may aim to represent diverse types of knowledge, may have different purposes, but all are based on the idea of capturing real-world phenomena via logic-based, machine-readable languages and processes. Such techniques are increasingly seen as a more explainable and more precise alternative to machine learning processes, and are being increasingly combined with such processes to build more reliable AI systems. - In this Special Issue, we solicit submission of original research, survey and resources articles in the scope of TGDK (graph-based data and knowledge) relating more specifically to the application of rules and logic-based reasoning processes.

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Article Image: TGDK - CfP Special Issue: Semantic Digital Humanities

TGDK - CfP Special Issue: Semantic Digital Humanities

/ Michael Didas

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.

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News • Publishing • TGDK

Article Image: TGDK - CfP Special Issue: Neuro-Symbolic Modeling for Human-Centric AI

TGDK - CfP Special Issue: Neuro-Symbolic Modeling for Human-Centric AI

/ Michael Wagner

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.

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News • Publishing • TGDK

Article Image: Dagstuhl Publishing – Highlights of 2025

Dagstuhl Publishing – Highlights of 2025

/ Michael Wagner

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.

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Article Image: Dagstuhl Publishing Releases Statement on the Use of Generative AI

Dagstuhl Publishing Releases Statement on the Use of Generative AI

/ Michael Wagner

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).

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