university website

R. Angles Rojas (Renzo), M. Arenas (Marcelo), P. Barceló (Pablo), P.A. Boncz (Peter), G. Fletcher (George), C. Gutierrez (Claudio), T. Lindaaker (Tobias), M. Paradies (Marcus), S. Plantikow (Stefan), J. Sequeda (Juan), et al. O. van Rest (Oskar) and H. Voigt (Hannes)

2018-06-10

G-CORE a core for future graph query languages

Publication

Publication

Presented at the SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data (June 2018), Houston, TX, USA

We report on a community effort between industry and academia to shape the future of graph query languages. We argue that existing graph database management systems should consider supporting a query language with two key characteristics. First, it should be composable, meaning, that graphs are the input and the output of queries. Second, the graph query language should treat paths as first-class citizens. Our result is G-CORE, a powerful graph query language design that fulfills these goals, and strikes a careful balance between path query expressivity and evaluation complexity.

Additional Metadata
Keywords Graph databases, graph data models, graph query languages
Stakeholder Neo4j , DLR , Capsenta , Oracle
Persistent URL doi.org/10.1145/3183713.3190654
Conference SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data
Organisation Database Architectures
Citation
Angles Rojas, R., Arenas, M., Barceló, P., Boncz, P., Fletcher, G., Gutierrez, C., … Voigt, H. (2018). G-CORE a core for future graph query languages. In Proceedings of the ACM International Conference on Management of Data (SIGMOD) (pp. 1421–1432). doi:10.1145/3183713.3190654
Full Text ( Final Version , 918kb ) cover


User Publication Person Organisation Collection
Close