Ontology-Mediated Queries for NOSQL Databases
Authors: Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we study the problem of answering ontology-mediated queries on top of key-value stores. We formalize the data model and core queries of these systems, and introduce a rule language to express lightweight ontologies on top of data. We study the decidability and data complexity of query answering in this setting. |
| Researcher Affiliation | Academia | Marie-Laure Mugnier Universit e de Montpellier CNRS, LIRMM Grahp IK Team, INRIA marie-laure.mugnier@lirmm.fr Marie-Christine Rousset Univ. Grenoble Alpes CNRS, LIG IUF (Institut Universitaire de France) marie-christine.rousset@imag.fr Federico Ulliana Universit e de Montpellier CNRS, LIRMM Grahp IK Team, INRIA federico.ulliana@lirmm.fr |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper focuses on theoretical aspects and does not mention using any public or open datasets for training. |
| Dataset Splits | No | The paper focuses on theoretical aspects and does not mention any training/test/validation dataset splits. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers. |
| Experiment Setup | No | The paper focuses on theoretical aspects and does not provide specific experimental setup details like hyperparameters or training configurations. |