Mapping Repair in Ontology-based Data Access Evolving Systems
Authors: Domenico Lembo, Riccardo Rosati, Valerio Santarelli, Domenico Fabio Savo, Evgenij Thorstensen
IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We then present a set of results on the complexity of query answering in the above framework, when the ontology is expressed in DL-Lite R. In these settings we provide a number of complexity results on the entailment of conjunctive queries. |
| Researcher Affiliation | Academia | 1 Sapienza Universit a di Roma 2 University of Oslo |
| Pseudocode | Yes | Algorithm 1: Check DMR-QE (M, T , S , D, q) |
| Open Source Code | No | The paper does not provide any specific links or explicit statements about the release of open-source code for the described methodology. The paper is theoretical in nature. |
| Open Datasets | No | The paper presents theoretical concepts and complexity analysis, and does not refer to the use of any specific publicly available or open dataset for training. |
| Dataset Splits | No | As the paper focuses on theoretical analysis and does not describe empirical experiments, no training/test/validation dataset splits are provided. |
| Hardware Specification | No | The paper is theoretical in nature and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper focuses on theoretical analysis and does not provide any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes theoretical frameworks and algorithms, but does not provide details on experimental setup, hyperparameters, or training configurations. |