Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

Abstract Knowledge graphs (KGs) have in recent years gained a large momentum both in
academic research and in business applications. They have become a bridge between …

Knowledge graph embedding models have become a popular approach for knowledge
graph completion through predicting the plausibility of (potential) triples. This is performed …

The multiple chiller system is a key issue for energy saving of heating, ventilation, and air
conditioning (HVAC) system. Optimal control is an effective way to improve the operation …

Enterprise Architecture offers guidelines for the coherent, model-based design and
management of enterprises. EA models provide a layered, integrated, and cohesive …

Following the recent successful examples of large technology companies, many modern
enterprises seek to build Knowledge Graphs to provide a unified view of corporate …

The world is transforming into a predominantly urban space, meaning that cities have to be
ready to provide services, for instance, to ensure availability and sustainable management …

The need for reasoning over temporal data has recently emerged. DatalogMTL is a highly
suitable language to handle many real-world applications. In spite of the deep theoretical …

Extracting knowledge from disparate biomedical literature can play an important role in the
discovery of disease mechanisms and remedial therapies. This paper explores a hybrid …

Multiple efforts have been performed worldwide around diverse aspects of land
administration. However, land administration data and systems' notorious heterogeneity …