Abstract
In the setting of ontology-mediated query answering, a query is evaluated over a knowledge base 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 evaluating the standard form of navigational queries, namely two-way regular path queries, over knowledge bases whose ontology is expressed by means of linear existential rules. More specifically, we show how to extend an approach developed for DL-Lite\(_\mathcal {R}\) to obtain an exponential-time decision procedure for linear rules. We prove that this algorithm achieves optimal worst-case complexity by establishing a matching ExpTime lower bound.
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Notes
- 1.
As we only consider the two-way variant, we will use the abbreviation RPQ instead of the more traditional 2RPQ.
- 2.
Note that x is required to determine the arity of \(\textit{conf}\).
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This work was supported by the ANR project 12 JS02 007 01.
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Bienvenu, M., Thomazo, M. (2016). On the Complexity of Evaluating Regular Path Queries over Linear Existential Rules. In: Ortiz, M., Schlobach, S. (eds) Web Reasoning and Rule Systems. RR 2016. Lecture Notes in Computer Science(), vol 9898. Springer, Cham. https://doi.org/10.1007/978-3-319-45276-0_1
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