Semantic Web (SW) techniques, such as ontologies, are used in Information Systems (IS) to
cope with the growing need for sharing and reusing data and knowledge in various research …

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 …

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 …

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 …

The brown marmorated stink bug (Halyomorpha halys) is one of the main insect pest
species causing economic damage to several agricultural commodities worldwide and one …

Efficient big data management is a dire necessity to manage the exponential growth in data
generated by digital information systems to produce usable knowledge. Structured …

This article presents a platform for environmental data named “Environmental Cloud for the
Benefit of Agriculture”(CEBA). The CEBA should fill the gap of a regional institutional …

During recent years, data lakes emerged as a way to manage large amounts of
heterogeneous data for modern data analytics. Although various work on individual aspects …

Currently, data are often referred to as the oil of the 21st century. This comparison is not only
used to express that the resource data are just as important for the fourth industrial …

Abstract Multi-model DBMSs (MMDBMSs) have been recently introduced to store and
seamlessly query heterogeneous data (structured, semi-structured, graph-based, etc.) in …