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..
Expressive Completeness of Existential Rule Languages for Ontology-Based Query Answering
Authors: Heng Zhang, Yan Zhang, Jia-Huai You
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we prove that disjunctive embedded dependencies exactly capture the class of recursively enumerable ontologies in Ontology-based Conjunctive Query Answering (OCQA). Our expressive completeness result does not rely on any built-in linear order on the database. |
| Researcher Affiliation | Academia | 1School of Computer Science & Tech., Huazhong Univ. of Technology & Science, Wuhan, China EMAIL 2School of Computing, Engineering & Mathematics, Western Sydney Univ., Penrith, Australia 3Department of Computing Science, University of Alberta, Edmonton, Canada |
| Pseudocode | No | The paper describes logical rules and theoretical simulations but does not include any pseudocode blocks or clearly labeled algorithm sections. |
| Open Source Code | No | The paper does not provide any statements about the release of source code or links to a code repository. |
| Open Datasets | No | The paper is theoretical and does not involve empirical experiments with datasets. Therefore, no information about dataset availability, public or otherwise, is provided. |
| Dataset Splits | No | The paper is theoretical and does not conduct empirical experiments, thus no training, validation, or test dataset splits are mentioned. |
| Hardware Specification | No | The paper is theoretical and does not describe any computational experiments. As such, no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not describe any computational experiments or implementations that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not involve empirical experiments. Therefore, no experimental setup details, hyperparameters, or training configurations are provided. |