Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
Authors: Cristina Feier, Carsten Lutz, Frank Wolter
IJCAI 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We provide precise characterizations, tight complexity bounds for deciding whether a given OMQ is rewritable, and show how to construct the rewritten query when it exists. In fact, we prove that the classes of CQs from [Kikot and Zolin, 2013] are depleting, but we go significantly beyond that |
| Researcher Affiliation | Academia | 1 University of Bremen, Germany 2 University of Liverpool, UK |
| Pseudocode | No | The paper contains mathematical definitions, theorems, and proofs, but no pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide an explicit statement about the release of source code for the described methodology or a link to a code repository. |
| Open Datasets | No | The paper is theoretical and focuses on characterizations and complexity bounds. It does not describe experiments involving datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not discuss dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for conducting experiments. |
| Software Dependencies | No | The paper is theoretical and does not list any specific software dependencies with version numbers for experimental replication. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details such as hyperparameters or training settings. |