Towards Universal Languages for Tractable Ontology Mediated Query Answering

Authors: Heng Zhang, Yan Zhang, Jia-Huai You, Zhiyong Feng, Guifei Jiang3049-3056

AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we focus on three families of tractable OMQA-languages, including first-order rewritable languages and languages whose data complexity of the query answering is in AC0 or PTIME. On the negative side, we prove that there is, in general, no universal language for each of these families of languages. On the positive side, we propose a novel property, the locality, to approximate the first-order rewritability, and show that there exists a language of disjunctive embedded dependencies that is universal for the family of OMQA-languages with locality.
Researcher Affiliation Academia 1College of Intelligence and Computing, Tianjin University, Tianjin, China 2School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, Australia 3School of Computer Science and Technology, Huazhong University of Technology and Science, Wuhan, China 4Department of Computing Science, University of Alberta, Edmonton, Canada 5College of Software, Nankai University, Tianjin, China
Pseudocode Yes Procedure 1: Generating Sequences t and N
Open Source Code No The paper does not provide any statement or link indicating that source code for the described methodology is available.
Open Datasets No The paper is theoretical and does not involve empirical training on datasets. It discusses abstract 'databases' and 'instances' within a logical framework, not concrete, publicly available datasets for machine learning.
Dataset Splits No The paper is theoretical and does not describe empirical experiments involving dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not describe running experiments. Therefore, no hardware specifications are mentioned.
Software Dependencies No The paper is theoretical and does not describe the implementation of any software. Therefore, no specific software dependencies with version numbers are mentioned.
Experiment Setup No The paper is theoretical and does not describe empirical experiments. Therefore, no experimental setup details such as hyperparameters or training settings are provided.