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

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 …

Graph-based approaches to data analysis have become more widespread, which has given
need for a query language for graphs. Such a graph query language needs not only SQL …

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 …

Query languages for graph databases started to be investigated some 25 years ago. With
much current data, such as linked data on the Web and social network data, being graph …

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 …

Graph pattern matching is fundamental to social network analysis. Traditional techniques
are subgraph isomorphism and graph simulation. However, these notions often impose too …

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 …

We study persistent query evaluation over streaming graphs, which is becoming
increasingly important. We focus on navigational queries that determine if there exists a path …

XPath plays a prominent role as an XML navigational language due to several factors,
including its ability to express queries of interest, its close connection to yardstick database …