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..
Efficient Paraconsistent Reasoning with Ontologies and Rules
Authors: Tobias Kaminski, Matthias Knorr, João Leite
IJCAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | To this end, we define two paraconsistent semantics for hybrid KBs which, beyond their differentiating properties, are faithful to well-known paraconsistent semantics as well as the non-paraconsistent logic they extend, and tractable if reasoning in the DL component is. |
| Researcher Affiliation | Academia | Tobias Kaminski and Matthias Knorr and Jo ao Leite NOVA LINCS Departamento de Inform atica Universidade NOVA de Lisboa 2829-516 Caparica, Portugal |
| Pseudocode | No | No explicit pseudocode or algorithm blocks were found. |
| Open Source Code | No | In the future, our fixpoint computations can be used to adapt the Prot eg e plug-in No HR [Ivanov et al., 2013] to also consider reasoning with our paraconsistent semantics. |
| Open Datasets | No | The paper presents theoretical semantics and does not involve training on a dataset. Example 1 provides a simplified ground hybrid KB for illustration, not a publicly available dataset used for empirical training. |
| Dataset Splits | No | The paper focuses on theoretical definitions and properties of paraconsistent semantics; it does not describe experimental validation with dataset splits. |
| Hardware Specification | No | The paper describes theoretical work and does not specify any hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not list specific software dependencies with version numbers used for its own described work. It only mentions a Protege plug-in in the context of future work. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup, hyperparameters, or training configurations. |