On the Relationship between Shy and Warded Datalog+/-

Author:

Baldazzi Teodoro1,Bellomarini Luigi2,Favorito Marco23,Sallinger Emanuel45

Affiliation:

1. Università Roma Tre, Italy

2. Bank of Italy

3. Università Sapienza, Italy

4. TU Wien, Austria

5. University of Oxford, UK

Abstract

Datalog^E is the extension of Datalog with existential quantification. While its high expressive power, underpinned by a simple syntax and the support for full recursion, renders it particularly suitable for modern applications on Knowledge Graphs, query answering (QA) over such language is known to be undecidable in general. For this reason, different fragments have emerged, introducing syntactic limitations to Datalog^E that strike a balance between its expressive power and the computational complexity of QA, to achieve decidability. In this short paper, we focus on two promising tractable candidates, namely Shy and Warded Datalog+/-. Reacting to an explicit interest from the community, we shed light on the relationship between these fragments. Moreover, we carry out an experimental analysis of the systems implementing Shy and Warded, respectively DLV^E and Vadalog.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dyadic Existential Rules;Theory and Practice of Logic Programming;2023-08-24

2. Reactive Company Control in Company Knowledge Graphs;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. Ontological Reasoning over Shy and Warded Datalog+/– for Streaming-Based Architectures;Lecture Notes in Computer Science;2023

4. Vadalog: Overview, Extensions and Business Applications;Reasoning Web. Causality, Explanations and Declarative Knowledge;2023

5. iWarded: A Versatile Generator to Benchmark Warded Datalog+/– Reasoning;Rules and Reasoning;2022

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