atlas

Research map / Learning theory and algorithms / Combinatorial and search optimization

Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases

AAAI 2025 · Learning theory and algorithms › Combinatorial and search optimization · approach: Logic and answer set programming theory · 2 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Complexity analysis of answering conjunctive queries with safe negation and inequality atoms over DL-Lite-with-disjointness (RDFS-style) ontologies, giving a Π2p upper bound for UCQs with both features and matching Π2p hardness for two negated atoms or two inequalities.

Problem

Query answering over RDFS-style DL-Lite ontologies with disjointness axioms for queries with safe negation and inequality atoms, whose combined complexity was previously open for fixed small numbers of negated or inequality atoms.

Approach

A nondeterministic algorithm that guesses a local interpretation (equivalence relation over constants plus extensions of predicates) and checks model membership and query falsity, yielding a Π2p upper bound; hardness reductions from ∀∃-CNF show Π2p-hardness already for two inequality atoms or two negated atoms, and NP for one negated atom via Datalog entailment.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Allow at most two negated atoms instead of at most oneCQ safe-negation query answering over DL-Lite¬RDFS · Combined complexitycomplexity class: NP-complete -> Πp2-completeHurt
Allow at most two inequality atoms instead of at most oneCQ inequality query answering over DL-Lite¬RDFS · Combined complexitycomplexity class: NP-c -> Πp2-cHurt
Allow safe negation and inequalities togetherUCQ query answering over DL-Lite¬RDFS · Combined complexitycomplexity class: Πp2 upper boundHurt
Assume the Unique Name AssumptionUCQ inequality query answering over DL-Lite¬RDFS · Data complexitycomplexity class: coNP -> AC0Helped
Assume the Unique Name AssumptionUCQ inequality query answering over DL-Lite¬RDFS · Combined complexitycomplexity class: Πp2 -> NP-completeHelped

Surprising findings

Limitations

Experimental setup

Builds on: DL-LiteRDFS Datalog reduction forall-exists-CNF (Stockmeyer 1976) Cima, Lenzerini, and Poggi 2020

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy