Extremal Fitting Problems for Conjunctive Queries
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Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jun 2022.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 2; 2026: 1.
6 papers.
- 2023SAT-Based PAC Learning of Description Logic Conceptscited by 5
- 2022On the non-efficient PAC learnability of conjunctive queriescited by 2
- 2023Reverse Engineering of Temporal Queries Mediated by LTL Ontologiescited by 1
- 2025Fitting Ontologies and Constraints to Relational Structurescited by 1
- 2025Navigating Taxonomic Expansions of Entity Sets Driven by Knowledge Basescited by 0
- 2026Shapes from Examples: Foundations of Shape Learning in Recursive SHACLcited by 0
- 2026Shapes from Examples: Foundations of Shape Learning in Recursive SHACL30 Jul 2026
- 2025Navigating Taxonomic Expansions of Entity Sets Driven by Knowledge Bases17 Dec 2025
- 2025Fitting Ontologies and Constraints to Relational Structures11 Aug 2025
- 2023SAT-Based PAC Learning of Description Logic Concepts15 May 2023
- 2023Reverse Engineering of Temporal Queries Mediated by LTL Ontologies2 May 2023
- 2022On the non-efficient PAC learnability of conjunctive queries22 Aug 2022