Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

We present a formal Arabic wordnet built on the basis of a carefully designed ontology
hereby referred to as the Arabic Ontology. The ontology provides a formal representation of …

Obtaining valuable insights and actionable knowledge from data requires cross-analysis of
domain data typically coming from various sources. Doing so, inevitably imposes …

The present study addresses research on the application of semantic technologies
(Semantic web technologies) to assist analysts in selecting, building, and explaining big …

The prerequisites for digital control of a large-scale industrial system based on INDUSTRY
4.0 with the help of learning are considered. It is shown that along with the use of machine …

This paper focuses on the characteristics of research data quality, and aims to cover the
most important issues related to it, giving particular attention to its attributes and to data …

Temporal ontologies allow to represent not only concepts, their properties, and their
relationships, but also time-varying information through explicit versioning of definitions or …

The frequently difficult process of examining large and diverse amounts of information is
known as" big data analysis." The goal is to find insights, such as hidden patterns …

As now well established, the world population is aging rapidly and, according to World
Health Organization (WHO), the amount of people aged 60 years and older is expected to …

The FAIR Principles are a set of recommendations that aim to underpin knowledge
discovery and integration by making the research outcomes Findable, Accessible …