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..
Semantic Characterization of Data Services through Ontologies
Authors: Gianluca Cima, Maurizio Lenzerini, Antonella Poggi
IJCAI 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We present a thorough complexity analysis of two computational problems, namely verification (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. |