Conference item
Dyadic existential rules
- Abstract:
- In the field of ontology-based query answering, existential rules (a.k.a. tuple-generating dependencies) form an expressive Datalog-based language to specify implicit knowledge. The presence of existential quantification in rule-heads, however, makes the main reasoning tasks undecidable. To overcome this limitation, in the last two decades, a number of classes of existential rules guaranteeing the decidability of query answering have been proposed. Unfortunately, such classes are typically based on different syntactic conditions imposing the development of different ad hoc reasoners. This paper introduces a novel general condition that allows to define, systematically, from any decidable class C of existential rules, a new class called Dyadic-C that enjoys the following properties: (i) it is decidable; (ii) it generalizes C; (iii) it keeps the same data complexity as C; and (iv) it can exploit any reasoner for query answering over C. Additionally, the paper proposes a simple and elegant syntactic condition that gives rise to the class Ward+ generalizing the well-known decidable classes Shy and Ward, and being included in Dyadic-Shy.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publication website:
- https://ceur-ws.org/Vol-3203/
Authors
- Publisher:
- CEUR Workshop Proceedings
- Host title:
- Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022)
- Volume:
- 3203
- Pages:
- 83-96
- Publication date:
- 2022-08-31
- Event title:
- 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022)
- Event location:
- Genova, Italy
- Event website:
- https://sites.google.com/view/lpnmr2022/home
- Event start date:
- 2022-09-05
- Event end date:
- 2022-09-08
- ISSN:
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1613-0073
- Language:
-
English
- Keywords:
- Pubs id:
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1280114
- Local pid:
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pubs:1280114
- Deposit date:
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2023-06-08
- ARK identifier:
Terms of use
- Copyright holder:
- Gottlob et al
- Copyright date:
- 2022
- Rights statement:
- © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
- Notes:
- This paper was presented at the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) co-located with the 16th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2022), 5th-8th September 2022, Genova, Italy.
- Licence:
- CC Attribution (CC BY)
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