The ability to provide massive data storage, applications, platforms plus many other services
leads to make the number of clouds services providers been increased. Providing different …

In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlapping knowledge. This heterogeneity problem can be tackled by …

Integrating natural language processing (NLP) techniques with spatial data infrastructures
(SDIs) potentially revolutionize the way users interact with geospatial data. This article …

The provision of suitable training materials is crucial in preparing construction workers for
the safety risks inherent in their work environments. However, retrieving relevant training …

Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several
approaches are typically evaluated by ontology engineers when bootstrapping a new …

We present a framework to support creative design of emergency management scenarios.
By creative design of scenarios we mean the process of imagining situations and describing …

Knowledge graphs (KG) play a crucial role in many modern applications. However,
constructing a KG from natural language text is challenging due to the complex structure of …

This paper presents an ontology-based driving decision making system, which can promptly
make safety decisions in real-world driving. Analyzing sensor data for improving …

Making fast driving decisions at intersections is a challenging problem for improving safety
of autonomous vehicles. Furthermore, representing sensor data in a machine …

Abstract Intelligent Speed Adaptation (ISA) is one of the key technologies for Advanced
Driver Assistance Systems (ADAS), which aims to reduce car accidents by supporting …