Source Information Disclosure in Ontology-Based Data Integration
Authors: Michael Benedikt, Bernardo Cuenca Grau, Egor Kostylev
AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we formalize and study the problem of determining whether a given data integration system discloses a source query to an attacker. We consider disclosure on a particular dataset, and also whether a schema admits a dataset on which disclosure occurs. We provide lower and upper bounds on disclosure analysis, in the process introducing a number of techniques for analyzing logical privacy issues in ontology-based data integration. Our goal in this paper is to lay the logical foundations of information disclosure in ontology-based data integration. Our focus is on the semantic requirements that a data integration system and dataset should satisfy before it is made available to users for querying, as well as on the complexity of checking whether such requirements are fulfilled. |
| Researcher Affiliation | Academia | Michael Benedikt, Bernardo Cuenca Grau, and Egor V. Kostylev Department of Computer Science University of Oxford |
| Pseudocode | No | The paper describes algorithmic procedures in natural language, such as 'an alternating procedure for checking Comply(O, M, D, p)', but does not include any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that source code for the described methodology is publicly available. |
| Open Datasets | No | The paper is theoretical and does not conduct empirical experiments using specific datasets. Therefore, it does not mention public datasets for training. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental validation with data splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper focuses on theoretical formalisms and complexity analysis and does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with specific hyperparameters or system-level training settings. |