Query Answering and Containment for Regular Path Queries under Distortions

2020 ◽

Cited By ~ 1

Author(s):

Diego Figueira ◽

Santiago Figueira ◽

Edwin Pin Baque

Keyword(s):

Query Answering ◽

Graph Structure ◽

First Order ◽

Underlying Graph ◽

Graph Classes ◽

Regular Path ◽

Order Constraints ◽

Simple Recursion ◽

Regular Path Queries ◽

Path Queries

Finite ontology mediated query answering (FOMQA) is the variant of ontology mediated query answering (OMQA) where the represented world is assumed to be finite, and thus only finite models of the ontology are considered. We study the property of finite-controllability, that is, whether FOMQA and OMQA are equivalent, for fragments of C2RPQ. C2RPQ is the language of conjunctive two-way regular path queries, which can be regarded as the result of adding simple recursion to Conjunctive Queries. For graph classes S, we consider fragments C2RPQ(S) of C2RPQ as the queries whose underlying graph structure is in S. We completely classify the finitely controllable and non-finitely controllable fragments under: inclusion dependencies, (frontier-)guarded rules, frontier-one rules (either with or without constants), and more generally under guarded-negation first-order constraints. For the finitely controllable fragments, we show a reduction to the satisfiability problem for guarded-negation first-order logic, yielding a 2EXPTIME algorithm (in combined complexity) for the corresponding (F)OMQA problem.

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Answering Conjunctive Regular Path Queries over Guarded Existential Rules

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2017/110 ◽

2017 ◽

Cited By ~ 1

Author(s):

Jean-François Baget ◽

Meghyn Bienvenu ◽

Marie-Laure Mugnier ◽

Michael Thomazo

Keyword(s):

Knowledge Bases ◽

Query Answering ◽

Linear Case ◽

Data Complexity ◽

Conjunctive Queries ◽

Regular Path ◽

Regular Path Queries ◽

Path Queries

Ontology-mediated query answering is concerned with the problem of answering queries over knowledge bases consisting of a database instance and an ontology. While most work in the area focuses on conjunctive queries, navigational queries are gaining increasing attention. In this paper, we investigate the complexity of answering two-way conjunctive regular path queries (CRPQs) over knowledge bases whose ontology is given by a set of guarded existential rules. We first consider the subclass of linear existential rules and show that CRPQ answering is EXPTIME-complete in combined complexity and NL-complete in data complexity, matching the recently established bounds for answering non-conjunctive RPQs. For guarded rules, we provide a non-trivial reduction to the linear case, which allows us to show that the complexity of CRPQ answering is the same as for plain conjunctive queries, namely, 2EXPTIME-complete in combined complexity and PTIME-complete in data complexity.

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Regular Path Queries in Lightweight Description Logics: Complexity and Algorithms

Journal of Artificial Intelligence Research ◽

10.1613/jair.4577 ◽

2015 ◽

Vol 53 ◽

pp. 315-374 ◽

Cited By ~ 6

Author(s):

Meghyn Bienvenu ◽

Magdalena Ortiz ◽

Mantas Simkus

Keyword(s):

Description Logic ◽

Query Language ◽

Description Logics ◽

Knowledge Bases ◽

Query Answering ◽

Complexity Bounds ◽

Regular Path ◽

Regular Path Queries ◽

Path Navigation ◽

Path Queries

Conjunctive regular path queries are an expressive extension of the well-known class of conjunctive queries. Such queries have been extensively studied in the (graph) database community, since they support a controlled form of recursion and enable sophisticated path navigation. Somewhat surprisingly, there has been little work aimed at using such queries in the context of description logic (DL) knowledge bases, particularly for the lightweight DLs that are considered best suited for data-intensive applications. This paper aims to bridge this gap by providing algorithms and tight complexity bounds for answering two-way conjunctive regular path queries over DL knowledge bases formulated in lightweight DLs of the DL-Lite and EL families. Our results demonstrate that in data complexity, the cost of moving to this richer query language is as low as one could wish for: the problem is NL-complete for DL-Lite and P-complete for EL. The combined complexity of query answering increases from NP- to PSpace-complete, but for two-way regular path queries (without conjunction), we show that query answering is tractable even with respect to combined complexity. Our results reveal two-way conjunctive regular path queries as a promising language for querying data enriched by ontologies formulated in DLs of the DL-Lite and EL families or the corresponding OWL 2 QL and EL profiles.

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