In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

The 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 …

The future is big graphs: a community view on graph processing systems Page 1 62
COMMUNICATIONS OF THE ACM | SEPTEMBER 2021 | VOL. 64 | NO. 9 contributed articles …

As graph databases become widespread, the International Organization for Standardization
(ISO) and International Electrotechnical Commission (IEC) have approved a project to create …

Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

Most of the current graph database systems have been designed to support property graphs.
Surprisingly, there is no standard specification of the database model behind such systems …

Distributed processing of large-scale graph data has many practical applications and has
been widely studied. In recent years, a lot of distributed graph processing frameworks and …

RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …

Graph processing is becoming increasingly prevalent across many application domains. In
spite of this prevalence, there is little research about how graphs are actually used in …