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👻 Probiert es mal aus, egal ob gruselig oder heilig, der „Geist” erwartet euch (es funktionieren auch andere Suchbegriffe, Notizen oder Bilder 😊 )
🧠 P.S. Für alle #CultureKnowledgeGraph- und #SPARQL-Kenner unter euch, bitte hier entlang 👉

LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
Hacane Hechehouche, Andre Antakli, Matthias Klusch
https://arxiv.org/abs/2510.06911 https://

LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
There are many established semantic Web standards for implementing multi-agent driven applications. The AJAN framework allows to engineer multi-agent systems based on these standards. In particular, agent knowledge is represented in RDF/RDFS and OWL, while agent behavior models are defined with Behavior Trees and SPARQL to access and manipulate this knowledge. However, the appropriate definition of RDF/RDFS and SPARQL-based agent behaviors still remains a major hurdle not only for agent modeler…

Modeling and Managing Temporal Obligations in GUCON Using SPARQL-star and RDF-star
Ines Akaichi, Giorgos Flouris, Irini Fundulaki, Sabrina Kirrane
https://arxiv.org/abs/2510.04652

Modeling and Managing Temporal Obligations in GUCON Using SPARQL-star and RDF-star
In the digital age, data frequently crosses organizational and jurisdictional boundaries, making effective governance essential. Usage control policies have emerged as a key paradigm for regulating data usage, safeguarding privacy, protecting intellectual property, and ensuring compliance with regulations. A central mechanism for usage control is the handling of obligations, which arise as a side effect of using and sharing data. Effective monitoring of obligations requires capturing usage trac…

Writing SPARQL queries, then backfilling the data so they actually work.

ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilities
Felix Brei, Lorenz B\"uhmann, Johannes Frey, Daniel Gerber, Lars-Peter Meyer, Claus Stadler, Kirill Bulert
https://arxiv.org/abs/2510.02200

ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilities
Interacting with knowledge graphs can be a daunting task for people without a background in computer science since the query language that is used (SPARQL) has a high barrier of entry. Large language models (LLMs) can lower that barrier by providing support in the form of Text2SPARQL translation. In this paper we introduce a generalized method based on SPINACH, an LLM backed agent that translates natural language questions to SPARQL queries not in a single shot, but as an iterative process of e…

Gerade erschienen 😎: Hanna Meiners und ich beschreiben, wie wir am DDK - Bildarchiv #FotoMarburg @… als Gateway institutionellen Wissens nutzen.
Meiners, Hanna-Lena, and Klaus Bulle. 2025. ‘Disrupting the Dust: Identifier Properties and the Future of Cultural Her…

👻🧹 🍁 🎃 Ihr sprecht diese bezaubernde Sprache namens SPARQL nicht, seid aber dennoch neugierig, was unser #CultureKnowledgeGraph für
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