arXiv AI

Stratified Negation in RDF Rules: A Correct Approach (Extended Version)

arXiv:2607. 28778v1 Announce Type: cross Abstract: Combining RDF rule languages, such as N3 or SHACL Rules, with default negation is challenging.

arXiv AI
Jul 24

Hybrid MKNF with Classical Negation in the Rule Component

arXiv:2607. 21202v1 Announce Type: cross Abstract: Hybrid MKNF knowledge bases under the well-founded semantics integrate Description Logics with Logic Programming.

By Arun Raveendran Nair Sheela (Universit\'e Clermont Auvergne, LIMOS Laboratory, Thales), Christophe Rey (Universit\'e Clermont Auvergne, LIMOS, CNRS, France), Florence De Grancey (Thales)
arXiv AI
Jun 16

VeriGraph: Towards Verifiable Data-Analytic Agents

arXiv:2606. 16603v1 Announce Type: cross Abstract: LLM-based agents have demonstrated strong capabilities in data-intensive analytical tasks, yet their outputs are rarely verifiable: a reliance on linear text trajectories makes their reasoning difficult to audit.

By Jiajie Jin, Zhao Yang, Wenle Liao, Yuyang Hu, Guanting Dong, Xiaoxi Li, Yutao Zhu, Zhicheng Dou
Hugging Face Trending Papers
Jul 23

Towards a Certifying Grounder

Grounding, the translation of high-level theories into equivalent quantifier-free formulas, is a crucial step in declarative solving, yet it has so far escaped the proof-logging revolution. When this grounding step is not certifying, there is no way of knowing that the obtained solutions actually correspond to the original problem specification, resulting in a trust gap.

arXiv AI
Jul 24

Towards a Certifying Grounder

arXiv:2607. 21199v1 Announce Type: cross Abstract: Grounding, the translation of high-level theories into equivalent quantifier-free formulas, is a crucial step in declarative solving, yet it has so far escaped the proof-logging revolution.

By Daimy Van Caudenberg, Alexander Ek, Carlos Cantero, Bart Bogaerts