First-Order Rewritability and Complexity of Two-Dimensional Temporal Ontology-Mediated Queries
Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav, Ryzhikov, Frank Wolter, Michael Zakharyaschev

TL;DR
This paper explores the first-order rewritability and complexity of two-dimensional temporal ontology-mediated queries, combining description logics with linear temporal logic to analyze query answering and decidability.
Contribution
It introduces a hierarchy of 2D temporal ontology languages, investigates FO-rewritability, and establishes decidability results for certain expressive role inclusions.
Findings
Decidability of consistency for Krom and Horn role inclusions.
Rewritability of atomic OMQs into FO(<), FOE, and FO(RPR).
Complexity bounds in AC0, NC1, and ExpSpace.
Abstract
Aiming at ontology-based data access to temporal data, we design two-dimensional temporal ontology and query languages by combining logics from the (extended) DL-Lite family with linear temporal logic LTL over discrete time (Z,<). Our main concern is first-order rewritability of ontology-mediated queries (OMQs) that consist of a 2D ontology and a positive temporal instance query. Our target languages for FO-rewritings are two-sorted FO(<) - first-order logic with sorts for time instants ordered by the built-in precedence relation < and for the domain of individuals - its extension FOE with the standard congruence predicates t \equiv 0 mod n, for any fixed n > 1, and FO(RPR) that admits relational primitive recursion. In terms of circuit complexity, FOE- and FO(RPR)-rewritability guarantee answering OMQs in uniform AC0 and NC1, respectively. We proceed in three steps. First, we define…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Constraint Satisfaction and Optimization
