Extremal Fitting Problems for Conjunctive Queries

Open Access
Authors
Publication date 2023
Book title PODS '23
Book subtitle Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems : June 18-23, 2023, Seattle, WA, USA
ISBN (electronic)
  • 9798400701276
Event 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2023
Pages (from-to) 89-98
Number of pages 10
Publisher Nw York, NY: Association for Computing Machinery
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

The fitting problem for conjunctive queries (CQs) is the problem to construct a CQ that fits a given set of labeled data examples. When a fitting CQ exists, it is in general not unique. This leads us to proposing natural refinements of the notion of a fitting CQ, such as most-general fitting CQ, most-specific fitting CQ, and unique fitting CQ. We give structural characterizations of these notions in terms of (suitable refinements of) homomorphism dualities, frontiers, and direct products, which enable the construction of the refined fitting CQs when they exist. We also pinpoint the complexity of the associated existence and verification problems, and determine the size of fitting CQs. We study the same problems for UCQs and for the more restricted class of tree CQs.

Document type Conference contribution
Language English
Published at https://doi.org/10.1145/3584372.3588655
Other links https://www.scopus.com/pages/publications/85164258192
Downloads
3584372.3588655 (Final published version)
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