In many processes, ranging from medical treatments to supply chains and employee
management, there is a growing need to gather information with the objective of enhancing …

The Linked Data paradigm has enabled a huge shared infrastructure for connecting data
from different domains which can be browsed and queried together as a huge knowledge …

Open Data (OD) is one of the most discussed issue of Big Data which raised the joint interest
of public institutions, citizens and private companies since 2009. However, the massive …

Artificial and synthetic data are widely used for benchmarking and evaluating database,
storage and query engines. This is usually performed in static contexts with no evolution in …

In this paper we discuss the problem of data citation with a specific focus on Linked Open
Data. We outline the main requirements a data citation methodology must fulfill:(i) uniquely …

Purpose Provenance information is crucial for consistent maintenance of metadata schemas
over time. The purpose of this paper is to propose a provenance model named DSP-PROV …

The practice of citation is foundational for the propagation of knowledge along with scientific
development and it is one of the core aspects on which scholarship and scientific publishing …

One of the great promises of Linked Data is to provide a shared data infrastructure into
which new data can be imported and aligned with, forming a sustainable, ever growing …

Abstract The Data Web refers to the vast and rapidly increasing quantity of scientific,
corporate, government and crowd-sourced data published in the form of Linked Open Data …

The rising Data Web has brought forth the requirement to treat information as dynamically
evolving aggregations of data from remote and heterogeneous sources, creating the need …