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 [1].
The Bag Semantics of Ontology-Based Data Access
Authors: Charalampos Nikolaou, Egor V. Kostylev, George Konstantinidis, Mark Kaminski, Bernardo Cuenca Grau, Ian Horrocks
IJCAI 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We show that, in contrast to the set case, ontologies may not have a universal model (i.e., a single model over which all CQs can be correctly evaluated), and bag query answering becomes CONP-hard in data complexity even if we restrict ourselves to DL-Litebag core ontologies. 3. To regain tractability, we study the class of rooted CQs [Bienvenu et al., 2012]... We show that rooted CQs over DL-Litebag core ontologies not only admit a universal model and enjoy favourable computational properties, but also allow for rewritings that can be directly evaluated over the bag ABox of the ontology. |
| Researcher Affiliation | Academia | Charalampos Nikolaou, Egor V. Kostylev, George Konstantinidis, Mark Kaminski, Bernardo Cuenca Grau, and Ian Horrocks Department of Computer Science, University of Oxford, UK |
| Pseudocode | No | The paper includes formal definitions, theorems, and proofs but no structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information or links to open-source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not involve empirical training on datasets. No information about publicly available datasets is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical validation on datasets. No information about dataset splits is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe empirical experiments, thus no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not describe empirical experiments, thus no specific software dependencies with version numbers are mentioned. |
| Experiment Setup | No | The paper is theoretical and does not include details about an experimental setup involving hyperparameters or training configurations. |