The number of applications being developed that require access to knowledge about the
real world has increased rapidly over the past two decades. Domain ontologies, which …

The development of new sensors and easier access to remote sensing data are significantly
transforming both the theory and practice of remote sensing. Although data-driven …

After a thorough analysis of existing Internet of Things (IoT) related ontologies, in this paper
we propose a solution that aims to achieve semantic interoperability among heterogeneous …

Motivation Ontologies are widely used in biology for data annotation, integration and
analysis. In addition to formally structured axioms, ontologies contain meta-data in the form …

The use of sensors and actuators as a form of controlling cyber-physical systems in resource
networks has been integrated and referred to as the Internet of Things (IoT). However, the …

With the COVID-19 pandemic and the growing influence of the Internet in critical sectors of
industry and society, cyberattacks have not only not declined, but have risen sharply. In the …

The emergence of the Internet of Things (IoT) in the medical field has led to the massive
deployment of a myriad of medical connected objects (MCOs). These MCOs are being …

Critical infrastructure (CIs) such as power grids link a plethora of physical components from
many different vendors to the software systems that control them. These systems are …

With the rapid development of coal mine intelligent technology, the complexity of coal mine
equipment has been continuously improved and the equipment maintenance resources …

The increasing use of ontologies requires their quality assurance. Ontology quality
assurance consists of a set of activities that allow analyzing the ontology, identifying …