Academic performance prediction is an indispensable task for policymakers. Academic
performance is frequently examined using classical statistical software, which can be used …

Risk permeates all aspects of doing business. However, support tools capable of
systematically identifying the complete spectrum of risks that a company might face are …

In many application domains, time series are monitored to detect extreme events like
technical faults, natural disasters, or disease outbreaks. Unfortunately, it is often non-trivial to …

The web is growing quickly, substructures are coming up: a {social, semantic, etc.} web, or
the {business, services, etc.} ecosystem which includes all resources of a specific web …

Big Data is generally characterized by three V's: volume, velocity, and variety. For the
Semantic Web community, the variety dimension could be the most appropriate and …

Since its initial definition in 2007, the concept of Linked Open Data (LOD) has gained strong
traction in the scientific community. However, mainstream adoption has been limited and the …

Despite an abundance of data available on the web today, satisfying users' complex
information needs intelligently by automatically integrating and processing data from various …

COVID-19 has caused a series of cascading crises in demand planning and the overall
supply chain. Two side impacts of COVOID-19 can be seen for most companies, change in …

The web of data is growing at a staggering pace. A large number of data sources, APIs,
services, and data visualizations are publicly available. Satisfying users-complex …

Disasters around the world are increasing taking a huge toll, both in human lives and
economic cost. Hence, a strong necessity for further understandings in respect to disaster …