Tractable Responsibility Measures for Ontology-Mediated Query Answering
Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

TL;DR
This paper analyzes the computational complexity of responsibility measures in ontology-mediated query answering, identifying tractable cases in certain description logics and highlighting intractability in others.
Contribution
It provides a complexity classification for responsibility measures based on the query and ontology language, including positive results for DL-Lite and intractability results for more expressive languages.
Findings
Polynomial data complexity for first-order-rewritable queries.
Intractability for reachability-encoding ontologies.
Tractable cases identified in restricted conjunctive query classes.
Abstract
Recent work on quantitative approaches to explaining query answers employs responsibility measures to assign scores to facts in order to quantify their respective contributions to obtaining a given answer. In this paper, we study the complexity of computing such responsibility scores in the setting of ontology-mediated query answering, focusing on a very recently introduced family of Shapley-value-based responsibility measures defined in terms of weighted sums of minimal supports (WSMS). By exploiting results from the database setting, we can show that such measures enjoy polynomial data complexity for classes of ontology-mediated queries that are first-order-rewritable, whereas the problem becomes "shP"-hard when the ontology language can encode reachability queries (via axioms like ). To better understand the tractability frontier, we next explore the…
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Access Control and Trust · Advanced Graph Neural Networks
