Inference from Visible Information and Background Knowledge
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Published:2021-06-21
Issue:2
Volume:22
Page:1-69
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ISSN:1529-3785
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Container-title:ACM Transactions on Computational Logic
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language:en
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Short-container-title:ACM Trans. Comput. Logic
Author:
Benedikt Michael1,
Bourhis Pierre2,
Cate Balder Ten3,
Puppis Gabrieled4,
Boom Michael Vanden5
Affiliation:
1. University of Oxford, UK
2. CNRS, CRIStAL, France
3. Google, Mountainvale, CA, USA
4. University of Udine, Italy
5. d’Overbroeck’s College, UK
Abstract
We provide a wide-ranging study of the scenario where a subset of the relations in a relational vocabulary is visible to a user—that is, their complete contents are known—while the remaining relations are invisible. We also have a background theory—invariants given by logical sentences—that may relate the visible relations to invisible ones, and also may constrain both the visible and invisible relations in isolation. We want to determine whether some other information, given as a positive existential formula, can be inferred using only the visible information and the background theory. This formula whose inference we are concerned with is denoted as the
query
. We consider whether positive information about the query can be inferred, and also whether negative information—the sentence does not hold—can be inferred. We further consider both the instance-level version of the problem, where both the query and the visible instance are given, and the schema-level version, where we want to know whether truth or falsity of the query can be inferred in
some
instance of the schema.
Funder
Engineering and Physical Sciences Research Council
CPER Nord-Pas de Calais/FEDER DATA
Advanced data science and technologies
ANR Aggreg project
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science
Reference51 articles.
1. S. Abiteboul R. Hull and V. Vianu. 1995. Foundations of Databases. Addison-Wesley. S. Abiteboul R. Hull and V. Vianu. 1995. Foundations of Databases. Addison-Wesley.
Cited by
2 articles.
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