Relaxing and Restraining Queries for OBDA

Authors: Medina Andreşel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Šimkus2654-2661

AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We propose a set of rewriting rules to relax and restrain conjunctive queries (CQs) over datasets mediated by an ontology written in a dialect of DL-Lite with complex role inclusions (CRIs). The addition of CRI enables the representation of knowledge about data involving ordered hierarchies of categories, in the style of multi-dimensional data models. Although CRIs in general destroy the first-order rewritability of CQs, we identify settings in which CQs remain rewritable.
Researcher Affiliation Academia Medina Andres el, Yazm ın Ib a nez-Garc ıa, Magdalena Ortiz, Mantas ˇSimkus {andresel,ibanez,ortiz}@kr.tuwien.ac.at | simkus@dbai.tuwien.ac.at Institute of Logic and Computation, TU Wien, Austria
Pseudocode No The paper describes rules and definitions but does not provide any structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any concrete access information (e.g., repository links, explicit statements of code release) for open-source code related to the described methodology.
Open Datasets No The paper includes an example dataset 'Ae' to illustrate concepts but does not provide access information (link, DOI, citation) for a publicly available or open dataset used for experiments.
Dataset Splits No The paper does not describe any experimental setup with dataset splits (training, validation, test) or cross-validation details.
Hardware Specification No The paper is theoretical and does not describe any specific hardware used for running experiments.
Software Dependencies No The paper is theoretical and does not provide specific software dependencies or version numbers for any experimental setup.
Experiment Setup No The paper does not provide specific experimental setup details such as hyperparameter values, training configurations, or system-level settings, as it is a theoretical paper.