Epistemic Disjunctive Datalog for Querying Knowledge Bases
Authors: Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi
AAAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | First, we illustrate the syntax and the semantics of the novel query language. Second, we study the expressive power of different fragments of our new language and compare it with Disjunctive Datalog and its variants. Third, we outline the precise data complexity of answering queries in our new language over KBs expressed in various well-known formalisms. |
| Researcher Affiliation | Academia | Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi Sapienza University of Rome {cima, console, lenzerini, poggi}@diag.uniroma1.it |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper describes theoretical work and does not mention the use of any datasets for training or evaluation, nor does it provide concrete access information for any dataset. |
| Dataset Splits | No | The paper is theoretical and does not discuss dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not mention any hardware specifications used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes theoretical work and does not detail any experimental setup, including hyperparameters or training configurations. |