The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to
indicate its fitness for use in an application. Several quality dimensions are identified, such …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

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 …

There is a large number of datasets published as Linked (Open) Data (LOD/LD). At the same
time, there is also a multitude of tools for publication of LD. However, potential LD …

Traditional smart city resources management rely on cloud based solutions to provide a
centralized and rich set of open data. The advantages of cloud based frameworks are their …

Management of the tendering phase of the public contract lifecycle is a demanding activity
with often irrevocable impact on the subsequent realization phase. We investigate the …

This chapter outlines the state of the art of Knowledge Graph technologies by introducing the
process of building a Knowledge Graph. We define the following major steps of an overall …

Within the GeoKnow project, various tools are developed and integrated which aim to
simplify managing geospatial Linked Data on the web. In this article, we summarize the state …

We present UnifiedViews, an Extract-Transform-Load (ETL) framework that allows users to
define, execute, monitor, debug, schedule, and share data processing tasks, which may …

Linked Data have emerged as a successful publication format and one of its main strengths
is its fitness for integration of data from multiple sources. This gives them a great potential …