Journal article
The space-efficient core of Vadalog
- Abstract:
- Vadalog is a system for performing complex reasoning tasks such as those required in advanced knowledge graphs. The logical core of the underlying Vadalog language is the warded fragment of tuple-generating dependencies (TGDs). This formalism ensures tractable reasoning in data complexity, while a recent analysis focusing on a practical implementation led to the reasoning algorithm around which the Vadalog system is built. A fundamental question that has emerged in the context of Vadalog is whether we can limit the recursion allowed by wardedness in order to obtain a formalism that provides a convenient syntax for expressing useful recursive statements, and at the same time achieves space-efficiency. After analyzing several real-life examples of warded sets of TGDs provided by our industrial partners, as well as recent benchmarks, we observed that recursion is often used in a restricted way: the body of a TGD contains at most one atom whose predicate is mutually recursive with a predicate in the head. We show that this type of recursion, known as piece-wise linear in the Datalog literature, is the answer to our main question. We further show that piece-wise linear recursion alone, without the wardedness condition, is not enough as it leads to undecidability. We also study the relative expressiveness of the query languages based on (piece-wise linear) warded sets of TGDs. Finally, we give preliminary experimental evidence for the practical effect of piece-wise linearity on Vadalog.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 1.1MB, Terms of use)
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- Publisher copy:
- 10.1145/3488720
Authors
- Publisher:
- Association for Computing Machinery
- Journal:
- ACM Transactions on Database Systems More from this journal
- Volume:
- 47
- Issue:
- 1
- Pages:
- 1-46
- Publication date:
- 2022-04-06
- Acceptance date:
- 2021-09-01
- DOI:
- EISSN:
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1557-4644
- ISSN:
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0362-5915
- Language:
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English
- Keywords:
- Pubs id:
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1249683
- Local pid:
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pubs:1249683
- Deposit date:
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2022-04-07
- ARK identifier:
Terms of use
- Copyright holder:
- Berger et al.
- Copyright date:
- 2022
- Rights statement:
- © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Association for Computing Machinery at https://doi.org/10.1145/3488720
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