Over the past two decades, we have witnessed an exponential increase of data production
in the world. So-called big data generally come from transactional systems, and even more …

In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …

Data lakes are a fundamental building block for many industrial data analysis solutions and
becoming increasingly popular in research. Often associated with big data use cases, data …

Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model
capable of generating human-like text through natural language processing (NLP). GPT is …

Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various …

Enabling the analysis of behavioral disorders over time in social networks, can help in
suicide prevention,(school) bullying detection and extremist/criminal activity prediction. In …

The continuous improvement in connectivity, storage and data processing capabilities allow
access to a data deluge from the big data generated on open, private, social and IoT …