Demo Data from EDBT 2026 / reviewers in the wild / expert
Andrés Taylor
dblp:215/4881
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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
1 paper |
Data models and query languages · 60% Graph data management · 40% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages › graph query language › property graph query language
cypher |
0.3 | 1 | 2018 | Cypher: An Evolving Query Language for Property Graphs · SIGMOD Conference 2018 |
Graph data management
graph pattern matching |
0.3 | 1 | 2018 | Cypher: An Evolving Query Language for Property Graphs · SIGMOD Conference 2018 |
Data models and query languages
graph query language |
0.3 | 1 | 2018 | Cypher: An Evolving Query Language for Property Graphs · SIGMOD Conference 2018 |
Data models and query languages › graph query language
property graph query language |
0.3 | 1 | 2018 | Cypher: An Evolving Query Language for Property Graphs · SIGMOD Conference 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Cypher: An Evolving Query Language for Property GraphsabstractThe Cypher property graph query language is an evolving language, originally designed and implemented as part of the Neo4j graph database, and it is currently used by several commercial database products and researchers. We describe Cypher 9, which is the first version of the language governed by the openCypher Implementers Group. We first introduce the language by example, and describe its uses in industry. We then provide a formal semantic definition of the core read-query features of Cypher, including its variant of the property graph data model, and its ASCII Art graph pattern matching mechanism for expressing subgraphs of interest to an application. We compare the features of Cypher to other property graph query languages, and describe extensions, at an advanced stage of development, which will form part of Cypher 10, turning the language into a compositional language which supports graph projections and multiple named graphs. Nadime Francis, Alastair Green, Paolo Guagliardo, Leonid Libkin, Tobias Lindaaker, Victor Marsault, Stefan Plantikow, Mats Rydberg, Petra Selmer, Andrés Taylor |
SIGMOD Conference | 10 |