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..
First-Order Rewritability of Temporal Ontology-Mediated Queries
Authors: Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev
IJCAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The aim of this paper is to launch a systematic investigation of rewritability of TOMQs with arbitrary temporal operators. |
| Researcher Affiliation | Academia | 1Faculty of Computer Science Free University of Bozen-Bolzano, Italy 2Department of Computer Science and Information Systems Birkbeck, University of London, UK 3Department of Computer Science University of Liverpool, UK |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper describes abstract ABoxes for theoretical examples (e.g., 'Ae = {B0(a, n)} {Aei(a, i) | i < n }') but does not provide any concrete access information for a publicly available dataset used for empirical training. |
| Dataset Splits | No | The paper does not provide specific dataset split information (e.g., training, validation, test splits), as it is a theoretical paper without empirical experiments. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running experiments, as it is a theoretical work. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers, as it describes a theoretical framework and does not detail an implementation. |
| Experiment Setup | No | The paper does not contain specific experimental setup details, hyperparameters, or training configurations, as it is a theoretical study. |