In the era of big data, linked data interfaces play a critical role in enabling access to and
management of large-scale, heterogeneous datasets. This survey investigates forty-seven …

The development of smart city applications often encounters a variety of challenges. These
include the need to address complex requirements such as integrating diverse data sources …

Abstract The Frequent Itemset Hiding Problem (FIHP) constitutes a critical aspect of Privacy-
Preserving Data Mining, aiming to protect sensitive information while extracting valuable …

Ontologies are essential for the management and integration of heterogeneous datasets.
This paper presents OntoBuilder, an advanced tool that leverages the structural capabilities …

Abstract Knowledge graphs (KGs) have gained significant attention in the GIS community as
a cutting-edge technology for linking heterogeneous and multimodal data sources …

Knowledge Graphs can be encoded using different data models. They are especially
abundant using RDF and recently also as property graphs. While knowledge graphs in RDF …

Graph databases are nowadays in widespread use for both scientific and industrial
purposes. Graph models are also exploited in Artificial Intelligence to represent Knowledge …

A piece of processed information is interpreted as knowledge, and the human brain
connects this knowledge in multiple ways, which helps us understand and assimilate the …

Graph reachability is the task of understanding whether two distinct points in a graph are
interconnected by arcs to which in general a semantic is attached. Reachability has plenty of …

The need for advanced knowledge exploration and discovery tools has become paramount
in an age defined by an overwhelming influx of information and ever-increasing data …