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J-Logic: Logical Foundations for JSON Querying

Summary: J-Logic: a Datalog-style logic for JSON emphasizing paths (key sequences) and packing (creating keys from paths); recursion yields computational completeness but many practical queries (e.g., deep equality) are expressible without recursion. Establishes metatheory: models JSON as deterministic partial functions, shows packing is unnecessary when outputs introduce no new keys, and proves decidability of object-preservation and query containment for positive nonrecursive programs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1718
Venue
PODS
Year
2017
Pagerank
4.299267e-05
Overall Rank
9,715 | 32.42%
DOI
10.1145/3034786.3056106

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,593 Expressiveness within Sequence Datalog 2021 PODS 4.3202988e-05
11,248 Scalable Reasoning on Document Stores via Instance-Aware Query Rewriting 2023 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,018 ILOG: Declarative Creation and Manipulation of Object Identifiers 1990 VLDB 0.00014627963
3,317 Data Functions, Datalog and Negation (Extended Abstract) 1988 SIGMOD 7.2283048e-05
5,249 Value Invention in Data Exchange 2013 SIGMOD 5.6054145e-05
5,620 Datalog and Emerging Applications: An Interactive Tutorial 2011 SIGMOD 5.407079e-05
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