Big Data technology has discarded traditional data modeling approaches as no longer
applicable to distributed data processing. It is, however, largely recognized that Big Data …

Data federation addresses the problem of uniformly accessing multiple, possibly
heterogeneous data sources, by map** them into a unified schema, such as an RDF …

Good database design is crucial to obtain a sound, consistent database, and—in turn—good
database design methodologies are the best way to achieve the right design. These …

The topic of data integration from external data sources or independent IT-systems has
received increasing attention recently in IT departments as well as at management level, in …

Chronic medical conditions take a huge toll on lives of a growing number of people and are
a major contributor to the rising costs in healthcare. As patients are increasingly willing to …

Besides the scientific paradigms of empiricism, mathematical modelling, and simulation, the
method of combining and analysing data in novel ways has become a main research …

It is common practice for data scientists to acquire and integrate disparate data sources to
achieve higher quality results. But even with a perfectly cleaned and merged data set, two …

Besides the traditional cartographic data sources, spatial information can also be derived
from location-based sources. Location-based sources offer rich spatial information …

Uncertainty, incompleteness, and imprecision are common characteristics of the data and
knowledge that we daily deal with in a wide range of domains and applications. Uncertainty …

Today's military operations require information from an unprecedented number of sources
resulting in an overwhelming volume of collected data. A primary challenge for military …