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..
Preferred Explanations for Ontology-Mediated Queries under Existential Rules
Authors: İsmail İlkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavičius6262-6270
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We provide a detailed complexity analysis for all the aforementioned problems, thereby providing a more complete picture for explaining query answers under existential rules. |
| Researcher Affiliation | Academia | Ismail Ilkan Ceylan1, Thomas Lukasiewicz1, Enrico Malizia2, Cristian Molinaro3, Andrius Vaicenaviˇcius1 1 Department of Computer Science, University of Oxford, UK 2 DISI, University of Bologna, Italy 3 DIMES, University of Calabria, Italy |
| Pseudocode | No | The paper does not contain pseudocode or algorithm blocks. It focuses on theoretical definitions and complexity analysis. |
| Open Source Code | No | The paper does not provide concrete access to source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not involve training models on datasets. The examples used are illustrative, not empirical datasets. |
| Dataset Splits | No | The paper is theoretical and does not involve data splits for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running any experiments, as it is a theoretical work. |
| Software Dependencies | No | The paper does not mention any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not include details about an experimental setup, hyperparameters, or training configurations. |