Data-Aware Hybrid Tableaux
Carlos Areces, Valentin Cassano, Raul Fervari

TL;DR
This paper introduces a data-aware tableau calculus for XPath that incorporates hybrid logic features, proving its soundness, completeness, and polynomial space exploration, thereby establishing PSpace-completeness for XPath satisfiability.
Contribution
It presents the first internalized tableau calculus for XPath with data comparison, hybrid logic features, and polynomial space exploration, advancing reasoning methods for semistructured data queries.
Findings
The calculus is sound, complete, and terminating.
Tableaux can be explored in polynomial space.
Satisfiability for the logic is PSpace-complete.
Abstract
Labelled tableaux have been a traditional approach to define satisfiability checking procedures for Modal Logics. In many cases, they can also be used to obtain tight complexity bounds and lead to efficient implementations of reasoning tools. More recently, it has been shown that the expressive power provided by the operators characterizing Hybrid Logics (nominals and satisfiability modalities) can be used to internalize labels, leading to well-behaved inference procedures for fairly expressive logics. The resulting procedures are attractive because they do not use external mechanisms outside the language of the logic at hand, and have good logical and computational properties. Many tableau systems based on Hybrid Logic have been investigated, with more recent efforts concentrating on Modal Logics that support data comparison operators. Here, we introduce an internalized tableau…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Advanced Database Systems and Queries
