arXiv:2312. 02873v2 Announce Type: replace-cross Abstract: The process engineering domain widely uses Process Flow Diagrams (PFDs) and Process and Instrumentation Diagrams (P&IDs) to represent process flows and equipment configurations.
By Lukas Schulze Balhorn, Marc Caballero, Artur M. Schweidtmann
arXiv:2607. 03447v1 Announce Type: cross Abstract: Knowledge graphs (KGs) that underpin Graph-based Retrieval-Augmented Generation (Graph-RAG) are increasingly built automatically by LLM-driven extraction rather than curated by experts.
By Axel TahmasebiMoradi, Lucas Schott, Martin Royer
arXiv:2608. 12304v1 Announce Type: new Abstract: Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements.
By Saman Marandi, Yu-Shu Hu, Mohammad Modarres
arXiv:2607. 17917v1 Announce Type: new Abstract: Scientific Reasoning Graph Extraction (SRGE) aims to recover explicit links among observations, evidence, intermediate claims, and paper-level conclusions.
By Bohan Su, Pengze Li, Yuchen Lu, Xi Chen
The paper introduces LeDQeR, an approach that uses large language models to automatically generate data quality rules for rule‑based enterprise tools. It follows a generate‑filter framework where the LLM proposes candidate rules from dirty data, and four filters ensure the rules are executable, correct, generalizable, and non‑redundant. Experiments show that LeDQeR produces effective, compact rule sets across diverse datasets and error types.
By Anna-Christina Glock, Thomas H\"utter, Johannes F\"urnkranz, Wolfram W\"o{\ss}, Christine Dominka-Kiss, Lisa Ehrlinger
Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements. However, DML construction typically relies on expert interpretation of technical documentation, limiting scalability for complex systems.