The Quest for Schemas in Graph Databases
Angela Bonifati1,2
1
    LYON 1 UNIVERSITY, FRANCE
2
    CNRS LIRIS, FRANCE


                                         Abstract
                                         Property graphs are a widespread data model for representing interconnected multi-labeled data enhanced
                                         with properties as key/value pairs. These highly expressive graphs are used in a wide range of domains,
                                         such as social and transportation networks, biological networks, finance, cybersecurity, logistics and
                                         planning, to name a few. Property graphs are the building blocks of future graph ecosystems, in which
                                         OLTP and OLAP processes are intertwined with complex advanced processes, such as learning, scientific
                                         computing and business intelligence. While property graphs are currently used in a variety of graph
                                         databases, a rather fragmented landscape emerges in terms of the supported query and schema languages.
                                         In particular, the coverage of schema and constraints is limited if not completely lacking in these systems.
                                         In this talk, I will present recent advances in terms of schemas and constraints for property graphs, as
                                         part of our work within the LDBC community groups. I will also focus on graph schema discovery and
                                         constraint satisfaction following these proposals for property graph schema and constraints. Finally, I
                                         will pinpoint future directions of research in this new exciting area of data management.




AMW’23: 15th Alberto Mendelzon International Workshop on Foundations of Data Management, May 22–26, 2023,
Santiago, Chile
Envelope-Open angela.bonifati@gmail.com (A. Bonifati)
GLOBE https://perso.liris.cnrs.fr/angela.bonifati/index.shtml (A. Bonifati)
                                       © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)