Harmless but Useful: Beyond Separable Equality Constraints in Datalog+/-
Luigi Bellomarini, Emanuel Sallinger

TL;DR
This paper introduces 'harmless' EGDs, a broader class of constraints in Datalog+/- that maintain tractability in query answering, extending beyond the limitations of separable EGDs.
Contribution
It defines harmless EGDs, provides a syntactic characterization, and demonstrates their applicability in Warded Datalog+/- for efficient, decidable query answering.
Findings
Harmless EGDs generalize separable EGDs and model more problems.
Query answering remains decidable and PTIME in data complexity with harmless EGDs.
Proposed chase-based techniques enable efficient reasoning in the extended framework.
Abstract
Ontological query answering is the problem of answering queries in the presence of schema constraints representing the domain of interest. Datalog+/- is a common family of languages for schema constraints, including tuple-generating dependencies (TGDs) and equality-generating dependencies (EGDs). The interplay of TGDs and EGDs leads to undecidability or intractability of query answering when adding EGDs to tractable Datalog+/- fragments, like Warded Datalog+/-, for which, in the sole presence of TGDs, query answering is PTIME in data complexity. There have been attempts to limit the interaction of TGDs and EGDs and guarantee tractability, in particular with the introduction of separable EGDs, to make EGDs irrelevant for query answering as long as the set of constraints is satisfied. While being tractable, separable EGDs have limited expressive power. We propose a more general class of…
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Service-Oriented Architecture and Web Services
