English

Finding Good Proofs for Answers to Conjunctive Queries Mediated by Lightweight Ontologies (Technical Report)

Databases 2022-08-17 v2 Logic in Computer Science

Abstract

In ontology-mediated query answering, access to incomplete data sources is mediated by a conceptual layer constituted by an ontology. To correctly compute answers to queries, it is necessary to perform complex reasoning over the constraints expressed by the ontology. In the literature, there exists a multitude of techniques incorporating the ontological knowledge into queries. However, few of these approaches were designed for comprehensibility of the query answers. In this article, we try to bridge these two qualities by adapting a proof framework originally applied to axiom entailment for conjunctive query answering. We investigate the data and combined complexity of determining the existence of a proof below a given quality threshold, which can be measured in different ways. By distinguishing various parameters such as the shape of a query, we obtain an overview of the complexity of this problem for the lightweight ontology languages DL-Lite_R and EL, and also have a brief look at temporal query answering.

Keywords

Cite

@article{arxiv.2206.09758,
  title  = {Finding Good Proofs for Answers to Conjunctive Queries Mediated by Lightweight Ontologies (Technical Report)},
  author = {Christian Alrabbaa and Stefan Borgwardt and Patrick Koopmann and Alisa Kovtunova},
  journal= {arXiv preprint arXiv:2206.09758},
  year   = {2022}
}

Comments

Extended version of a paper accepted at 35th International Workshop on Description Logics (DL 2022). Preliminary proceedings are available at https://dai.fmph.uniba.sk/events/dl2022/proceedings/Vol-XXX/