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

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 …

In the context of Industry 4.0, smart factories use advanced sensing and data analytic
technologies to understand and monitor the manufacturing processes. To enhance …

Abstract Billions of Linked Data triples exist in thousands of RDF knowledge graphs on the
Web, but few of those graphs can be queried live from Web applications. Only a limited …

Abstract Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing
the world's structured knowledge and for integrating information extracted from multiple data …

A method may relate generally to data science and data analysis, computer software and
systems, and wired and wireless network communications to provide an interface between …

As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

Numerous irregular graph datasets, for example social networks or web graphs, may contain
even trillions of edges. Often, their structure changes over time and they have domain …

In this paper we address the problem of scalable, native and adaptive query processing over
Linked Stream Data integrated with Linked Data. Linked Stream Data consists of data …

Blockchains and smart contracts are gaining momentum as enabling technologies for a wide
set of applications where data distribution and sharing among decentralized infrastructures …