Digital Twins (DT) facilitate monitoring and reasoning processes in cyber–physical systems.
They have progressively gained popularity over the past years because of intense research …

The knowledge that is acquired through a learning process has ethical concerns when
shared, as there can be restrictions on the parties who can use the piece of knowledge …

In this work, we have developed a knowledge treasure for situation awareness. Background
knowledge and information for emergency situations are required to support the decision …

Large-scale disasters pose significant response challenges for all governmental
organizations and the general public. Several difficulties usually occur during the response …

The emergency response process is a complex task that involves the evaluation of various
elements to make crucial decisions. However, this complexity poses challenges to …

Natural disasters such as earthquakes, floods, and forest fires involve critical situations in
which human lives and infrastructures are in jeopardy. People are often injured and/or …

To train knowledge graph embedding models, negative training examples have to be
generated artificially. A few attempts were already made in the past to improve negative …

The ontology knowledge base can be divided into two parts: TBox and ABox, where the
former models schema-level knowledge within the domain, and the latter is a statement of …

Several OWL ontologies have been developed for the AEC industry to manage domain-
specific information, yet they often overlook the domain of building services and HVAC …

This paper presents an architecture for a knowledge-based system (KBS) that consists of a
Knowledge Graph, an inference engine and services. The Web of Things standard is used to …