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..
XPath for DL Ontologies
Authors: Egor Kostylev, Juan Reutter, Domagoj Vrgoc
AAAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper we make a step towards coupling knowledge bases and graph databases by studying how to answer powerful XPath-style queries over simple DLs like DL-Lite and EL. We start with adapting the definition of XPath to the DL context, and then proceed to study the complexity of evaluating XPath queries over knowledge bases. |
| Researcher Affiliation | Academia | Egor V. Kostylev University of Oxford Juan L. Reutter PUC Chile Domagoj Vrgoˇc PUC Chile |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information about open-source code availability for the described methodology. |
| Open Datasets | No | The paper is theoretical, analyzing formalisms (DL-Lite, EL families) and their complexity. It does not use or specify any concrete, publicly available datasets. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental data splits. Therefore, it does not provide training/validation/test dataset splits. |
| Hardware Specification | No | The paper focuses on theoretical complexity analysis and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper focuses on theoretical complexity analysis and does not list any specific software components with version numbers. |
| Experiment Setup | No | The paper is theoretical, discussing formalisms and complexity, and therefore does not describe specific experimental setup details such as hyperparameters or training settings. |