Abstract
GQL (Graph Query Language) is being developed as a new ISO standard for graph query languages to play the same role for graph databases as SQL plays for relational. In parallel, an extension of SQL for querying property graphs, SQL/PGQ, is added to the SQL standard; it shares the graph pattern matching functionality with GQL. Both standards (not yet published) are hard-to-understand specifications of hundreds of pages. The goal of this paper is to present a digest of the language that is easy for the research community to understand, and thus to initiate research on these future standards for querying graphs. The paper concentrates on pattern matching features shared by GQL and SQL/PGQ, as well as querying facilities of GQL.
Original language | English |
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Title of host publication | 26th International Conference on Database Theory, ICDT 2023 |
Editors | Floris Geerts, Brecht Vandevoort |
Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
ISBN (Electronic) | 9783959772709 |
DOIs | |
State | Published - 1 Mar 2023 |
Externally published | Yes |
Event | 26th International Conference on Database Theory, ICDT 2023 - Ioannina, Greece Duration: 28 Mar 2023 → 31 Mar 2023 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 255 |
ISSN (Print) | 1868-8969 |
Conference
Conference | 26th International Conference on Database Theory, ICDT 2023 |
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Country/Territory | Greece |
City | Ioannina |
Period | 28/03/23 → 31/03/23 |
Bibliographical note
Publisher Copyright:© Nadime Francis, Amélie Gheerbrant, Paolo Guagliardo, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Liat Peterfreund, Alexandra Rogova, and Domagoj Vrgoč; licensed under Creative Commons License CC-BY 4.0.
Keywords
- GQL
- Graph Database
- Multi-Graph
- Pattern matching
- Property Graph
- Query Language