Publishing interlinked RDF datasets as links between data items identified using
dereferenceable URIs on the web brings forward a number of issues. A key challenge is to …

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 …

We present a web-based tool that shows a summary of an RDF dataset as a visualization of
a graph formed from classes, datatypes and predicates used in the dataset. The …

Access to hundreds of knowledge bases has been made available on the Web through
public SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content …

To date, Semantic Web research has tended to focus on data modelling challenges, at the
expense of software architecture and engineering issues. Our empirical analysis shows that …

Exploration systems over large-scale RDF knowl-edge graphs often rely on aggregate count
queries to indicate how many results the user can expect for the possible next steps of …

In order to pose queries on SPARQL endpoints, users need to understand the underlying
structure of the data that is stored. Unfortunately, and despite the importance of endpoints in …

A database conceptual schema is a high-level description of how database concepts are
organized, typically as a set of classes of objects and their attributes. Triplification is the …

Linked Data is the standard generally adopted for publishing Open Government Data. This
operation requires that a myriad of public information datasets be converted to a set of RDF …

During recent years the increasing adoption of Open Data Initiatives and Lined Data
principles have lead to the creation of a globally distributed space of Linked Data that covers …