In the past few decades, the field of ecology has grown from a collection of disparate researchers who collected data on their local phenomenon by hand, to large projects fueled by automated sensor networks that rely on ...

Generally speaking, this dissertation delivers a conceptual model, and a set of infrastructure that can facilitate its general application in stream reasoning. Specifically, the first contribution is an innovative notion ...

By employing the extensible knowledge graph curation and analysis platform called Whyis, we can validate the constructed interactions discovered by our workflow in comparison to interactions stated in a domain-specific ...

Medical imaging examination is the most common form of routine medical analysis, which involves several stages of reasoning and careful analysis to reach a final decision by the radiologist. Most deep learning frameworks ...

The focus of this thesis will be on the implementation of these two use cases, as well as an extension of the first use case, where a data user with certain semantics for a given data collection (such as a domain model) ...

Policies are sets of rules that describe suitable responses that correspond to some given set of conditions. They are crucial tools when it comes to the decision-making process, regardless of domain or profession. Policies ...

To populate KBs, researchers have made significant progress in relation extraction from unstructured text corpora. However, it remains very challenging since a relation can be expressed in numerous ways through a sophisticated ...