This chapter discusses the abstract concepts necessary to realise a Web of Data. We
discuss how the content on the Web can be represented as graph-structured data in order to …

Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the
collective management of evolving knowledge. The present work aims to provide an …

Within scientific community, there is a certain consensus to define" Big Data" as a global set,
through a complex integration that embraces several dimensions from using of research …

We describe a framework for analyzing simulation output in order to find solutions that will
work well after implementation. We show how the use of a loss function that incorporates …

In this paper, we propose a novel data-driven schema for large-scale heterogeneous
knowledge graphs inspired by Formal Concept Analysis (FCA). We first extract the sets of …

Many Linked Open Data applications require fresh copies of RDF data at their local
repositories. Since RDF documents constantly change and those changes are not …

Given historical versions of an RDF graph, we propose and compare several methods to
predict whether or not the results of a SPARQL query will change for the next version …

Knowledge graphs (KGs) are a core component of many web-based applications. KGs store
information about entities such as persons and organizations. A central challenge is to keep …

The Linked Open Data (LOD) cloud is expanding continuously. Entities appear, change, and
disappear over time. However, relatively little is known about the dynamics of the entities, ie …

Many datasets change over time. As a consequence, long-running applications that cache
and repeatedly use query results obtained from a SPARQL endpoint may resubmit the …