Towards a Unified Framework for Syntactic Inconsistency Measures
Authors: Glauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we introduce a general framework for comparing syntactic inconsistency measures. It uses the construction of an inconsistency graph for each knowledgebase. We then introduce abstractions of the inconsistency graph and use the hierarchy of the abstractions to classify a range of inconsistency measures. |
| Researcher Affiliation | Academia | Glauber De Bona Escola Polit ecnica Universidade de S ao Paulo S ao Paulo, Brasil John Grant Dept. of Computer Science and UMIACS University of Maryland College Park, MD, USA Anthony Hunter Dept. of Computer Science University College London London, UK S ebastien Konieczny CRIL CNRS Universit e d Artois Lens, France |
| Pseudocode | No | No pseudocode or clearly labeled algorithm blocks were found in the paper. |
| Open Source Code | No | The paper is theoretical and does not describe a software methodology or provide any statements about releasing open-source code. |
| Open Datasets | No | The paper is theoretical and does not use or reference any datasets, public or otherwise. |
| Dataset Splits | No | The paper is theoretical and does not involve dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not mention any specific hardware used for experiments or computations. |
| Software Dependencies | No | The paper is theoretical and does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup or hyperparameters. |