We survey foundational features underlying modern graph query languages. We first
discuss two popular graph data models: edge-labelled graphs, where nodes are connected …

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 …

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

知识图谱是人工智能的重要基石. 各领域大规模知识图谱的构建和发布对知识图谱数据管理提出
了新的挑战. 以数据模型的结构和操作要素为主线, 对目前的知识图谱数据管理理论, 方法 …

The limitations of traditional databases, in particular the relational model, to cover the
requirements of current applications has lead the development of new database …

Graph databases have gained renewed interest in the last years, due to its applications in
areas such as the Semantic Web and Social Networks Analysis. We study the problem of …

知识图谱是人工智能的重要基石. 各领域大规模知识图谱的构建和发布对知识图谱数据管理提出
了新的挑战. 以数据模型的结构和操作要素为主线, 对目前的知识图谱数据管理理论, 方法 …

It is increasingly common to find real-life data represented as networks of labeled,
heterogeneous entities. To query these networks, one often needs to identify the matches of …

Graph databases have received much attention as of late due to numerous applications in
which data is naturally viewed as a graph; these include social networks, RDF and the …

Graph data management concerns the research and development of powerful technologies
for storing, processing and analyzing large volumes of graph data. This chapter presents an …