Data marketplaces are expected to play a crucial role in tomorrow's data economy, but such
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …

A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

Open data aims to unlock the innovation potential of businesses, governments, and
entrepreneurs, yet it also harbours significant challenges for its effective use. While …

In engineering asset management, accurate failure risk estimation is essential for averting
equipment breakdowns and optimizing risk-based maintenance strategies. Data quality and …

Data is the new oil of the 21st century. The growing trend of trading data for greater welfare
has led to the emergence of data markets. A data market is any mechanism whereby the …

RDF Knowledge Graphs (or Datasets) contain valuable information that can be exploited for
a variety of real-world tasks. However, due to the enormous size of the available RDF …

In big data era, information integration often requires abundant data extracted from massive
data sources. Due to a large number of data sources, data source selection plays a crucial …

Source selection is the problem of identifying a subset of available data sources that best
meet a user's needs. In this paper we propose a user-driven approach to source selection …

Big data technologies have attracted much attention in recent years. The academia and
industry have reached a consensus, that is, the ultimate goal of big data is about …

Nowadays, due to the high level of data distribution, it is frequently impossible to generate a
unified representation of a variety of heterogenous data sources in a single step. Dividing …