Abstract The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal
but lightweight general-purpose specification for modellingthe interaction between the …

Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

Data Ecosystems are socio-technical networks that enable collaboration between
autonomous actors such as enterprises, institutions, and individuals. While Data Ecosystems …

Many attempts have been made to enhance irrigation decisions using Decision Support
Systems (DSS). These have met with limited success for many reasons, one of which is well …

The Open Data movement has become a driver for publicly available data on the Web. More
and more data—from governments and public institutions but also from the private sector …

Abstract The International Data Spaces initiative (IDS) is building an ecosystem to facilitate
data exchange in a secure, trusted, and semantically interoperable way. It aims at providing …

RDF and Linked Data have broad applicability across many fields, from aircraft
manufacturing to zoology. Requirements for detecting bad data differ across communities …

The four authors of this book have a long-standing collaboration that goes back to the year
2009 at least, when the project Monnet funded by the European Commission started. This …

The ability to compare systems from the same domain is of central importance for their
introduction into complex applications. In the domains of named entity recognition and entity …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …