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Title Multilayer Graphs: A Unified Data Model for Graph Databases
Authors Renzo Angles, Aidan Hogan, Ora Lassila, Carlos Rojas, Daniel Schwabe, Pedro A. Szekely
Publication date 2022
Abstract In this short position paper, we argue that there is a
need for a
unifying data model that can support popular graph formats such as RDF, RDF*
and property graphs, while at the same time being powerful enough to
naturally store information from complex knowledge graphs, such as Wikidata,
without the need for a complex reification scheme. Our proposal, called the
multilayer graph model, presents a simple and flexible data model for graphs
that can naturally support all of the above, and more. We also observe that
the idea of multilayer graphs has appeared in existing graph systems from
different vendors and research groups, illustrating its
Pages 11:1-11:6
Conference name ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)
Publisher ACM Press (New York, NY, USA)
Reference URL View reference page