JSON: data model, query languages and schema specification
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Abstract (arXiv)
Despite the fact that JSON is currently one of the most popular formats for exchanging data on the Web, there are very few studies on this topic and there are no agreement upon theoretical framework for dealing with JSON. There- fore in this paper we propose a formal data model for JSON documents and, based on the common features present in available systems using JSON, we define a lightweight query language allowing us to navigate through JSON documents. We also introduce a logic capturing the schema proposal for JSON and study the complexity of basic computational tasks associated with these two formalisms.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Jan 2017.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 2; 2026: 4.
7 papers.
- 2022Towards Learning Universal Hyperparameter Optimizers with Transformerscited by 81
- 2025RAG for Geoscience: What We Expect, Gaps and Opportunitiescited by 5
- 2026PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaborationcited by 3
- 2026Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systemscited by 1
- 2025ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sourcescited by 0
- 2026Leveraging Generative AI for Enhancing Domain-Driven Software Designcited by 0
- 2026Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Datacited by 0
- 2026Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systems28 May 2026
- 2026PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration28 May 2026
- 2026Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data2 Mar 2026
- 2026Leveraging Generative AI for Enhancing Domain-Driven Software Design28 Jan 2026
- 2025RAG for Geoscience: What We Expect, Gaps and Opportunities15 Aug 2025
- 2025ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources2 Mar 2025
- 2022Towards Learning Universal Hyperparameter Optimizers with Transformers26 May 2022