English

Sequent Calculi for Data-Aware Modal Logics

Logic in Computer Science 2025-10-03 v1

Abstract

Data-aware modal logics offer a powerful formalism for reasoning about semi-structured queries in languages such as DataGL, XPath, and GQL. In brief, these logics can be viewed as modal systems capable of expressing both reachability statements and data-aware properties, such as value comparisons. One particularly expressive logic in this landscape is HXpathD, a hybrid modal logic that captures not only the navigational core of XPath but also data comparisons, node labels (keys), and key-based navigation operators. While previous work on HXpathD has primarily focused on its model-theoretic properties, in this paper we approach HXpathD from a proof-theoretic perspective. Concretely, we present a sound and complete Gentzen-style sequent calculus for HXpathD. Moreover, we show all rules in this calculus are invertible, and that it enjoys cut elimination. Our work contributes to the proof-theoretic foundations of data-aware modal logics, and enables a deeper logical analysis of query languages over graph-structured data. Moreover, our results lay the groundwork for extending proof-theoretic techniques to a broader class of modal systems.

Keywords

Cite

@article{arxiv.2510.01868,
  title  = {Sequent Calculi for Data-Aware Modal Logics},
  author = {Carlos Areces and Valentin Cassano and Danae Dutto and Raul Fervari},
  journal= {arXiv preprint arXiv:2510.01868},
  year   = {2025}
}

Comments

In Proceedings LSFA 2025, arXiv:2509.23739. Full technical details and omitted proofs can be found in arXiv:2505.17240

R2 v1 2026-07-01T06:12:54.920Z