EDBT 2026 Demo / reviewers in the wild / expert
Fernando Suárez
dblp:99/4810
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
0009-0002-8175-8261ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
2 papers |
Data models and query languages · 75% Database theory · 20% Knowledge graphs · 5% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages › semistructured data
JSON data model |
0.3 | 1 | 2017 | JSON: Data model, Query languages and Schema specification · PODS 2017 |
Data models and query languages › query language design
JSON query language |
0.3 | 1 | 2017 | JSON: Data model, Query languages and Schema specification · PODS 2017 |
Data models and query languages › semistructured data
JSON |
0.2 | 1 | 2016 | Foundations of JSON Schema · WWW 2016 |
Data models and query languages › schema languages
JSON Schema |
0.2 | 1 | 2016 | Foundations of JSON Schema · WWW 2016 |
Logic in computer science
formal semantics |
0.2 | 1 | 2016 | Foundations of JSON Schema · WWW 2016 |
Knowledge graphs › semantic web
wikidata |
0.1 | 1 | 2016 | Foundations of JSON Schema · WWW 2016 |
Methods — techniques the papers use, named apart from their topics
validation · 0.5formal specification · 0.5formal semantics · 0.3complexity analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | JSON: Data model, Query languages and Schema specificationabstractDespite 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 is no agreement upon a theoretical framework for dealing with JSON. Therefore 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. Pierre Bourhis, Juan L. Reutter, Fernando Suárez, Domagoj Vrgoc |
PODS | 3 |
| 2016 | Foundations of JSON SchemaabstractJSON -- the most popular data format for sending API requests and responses -- is still lacking a standardized schema or meta-data definition that allows the developers to specify the structure of JSON documents. JSON Schema is an attempt to provide a general purpose schema language for JSON, but it is still work in progress, and the formal specification has not yet been agreed upon. Why this could be a problem becomes evident when examining the behaviour of numerous tools for validating JSON documents against this initial schema proposal: although they agree on most general cases, when presented with the greyer areas of the specification they tend to differ significantly. In this paper we provide the first formal definition of syntax and semantics for JSON Schema and use it to show that implementing this layer on top of JSON is feasible in practice. This is done both by analysing the theoretical aspects of the validation problem and by showing how to set up and validate a JSON Schema for Wikidata, the central storage for Wikimedia. Felipe Pezoa, Juan L. Reutter, Fernando Suárez, Martín Ugarte, Domagoj Vrgoc |
WWW | 3 |