Building models for integrating the diverse data generated in Cultural Heritage disciplines is
a long-term challenge both for securing presently generated knowledge and for making it …

The use of sensors and actuators as a form of controlling cyber-physical systems in resource
networks has been integrated and referred to as the Internet of Things (IoT). However, the …

Renewable-dominated power grids will require industry to run their processes in
accordance with the availability of energy. At the same time, digitalization introduces new …

In recent years, data lakes emerged as a way to manage large amounts of heterogeneous
data for modern data analytics. One way to prevent data lakes from turning into inoperable …

Abstract Socio-Ecological Systems (SESs) are the systems in which our everyday lives are
embedded, so understanding them is important. The complex properties of such systems …

Data access in an enterprise setting is a determining factor for value creation processes,
such as sense-making, decision-making, and intelligence analysis. Particularly, in an …

The problems of Data Integration/Exchange (DE) and Ontology Based Data Access (OBDA)
have been extensively studied across different communities. The underlying problem is …

Accessing and utilizing enterprise or Web data that is scattered across multiple data sources
is an important task for both applications and users. Ontology-based data integration, where …

Answering conjunctive queries over ontology-enriched datasets is a core reasoning task for
many applications. Query answering is, however, computationally very expensive, which …

This chapter will briefly describe some common methods by which people make quantitative
estimates of how well they expect empirical models to make predictions. However, the …