Semantic Characterization of Data Services through Ontologies
Authors: Gianluca Cima, Maurizio Lenzerini, Antonella Poggi
IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We present a thorough complexity analysis of two computational problems, namely veriļ¬cation (checking whether a query is an s-to-o rewriting of a given data service), and computation (computing an s-to-o rewriting of a data service). |
| Researcher Affiliation | Academia | Gianluca Cima1 , Maurizio Lenzerini1 and Antonella Poggi1,2 1Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza Universit a di Roma 2Dipartimento di Lettere e Culture Moderne, Sapienza Universit a di Roma |
| Pseudocode | Yes | Algorithm 1 Compute complete s-to-o rewritings; Algorithm 2 Compute sound s-to-o rewritings |
| Open Source Code | No | The paper does not provide any statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | No | The paper discusses theoretical concepts related to databases and ontologies but does not refer to any specific dataset, its public availability, or its use for training in an experimental setup. |
| Dataset Splits | No | The paper is theoretical and does not describe any empirical experiments involving data splits for training, validation, or testing. |
| Hardware Specification | No | The paper does not mention any specific hardware used for running experiments, as its focus is theoretical. |
| Software Dependencies | No | The paper does not list any specific software dependencies with version numbers. It focuses on theoretical concepts and algorithms. |
| Experiment Setup | No | The paper does not describe any empirical experimental setup details such as hyperparameters, training configurations, or system-level settings, as its focus is theoretical. |