Graphs arise naturally in many real-world applications including social networks,
recommender systems, ontologies, biology, and computational finance. Traditionally …

Recognition of activities of daily living (ADLs) is an enabling technology for several
ubiquitous computing applications. In this field, most activity recognition systems rely on …

The management of uncertainty is crucial when harvesting structured content from
unstructured and noisy sources. Knowledge Graphs (KGs) are a prominent example. KGs …

Semantic technologies in enterprises have recently received increasing attention from both
the research and industrial side. The concept of Linked Enterprise Data (LED) describes a …

Temporal facts, the facts for characterizing events that hold in specific time periods, are
attracting rising attention in the knowledge graph (KG) research communities. In terms of …

Semantic computing and enterprise Linked Data have recently gained traction in
enterprises. Although the concept of Enterprise Knowledge Graphs (EKGs) has meanwhile …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

Answer set programming is a form of declarative programming that can be used to elegantly
model various systems. When the available knowledge about these systems is imperfect …

Temporal facts, which are used to describe events that occur during specific time periods,
have become a topic of increased interest in the field of knowledge graph (KG) research. In …

Thermal analysis is a key aspect in electrical machine design and in particular for those
operating with severe duty where a high-reliability thermal analysis is required. This paper …