Various ontology visualization tools using different visualization methods exist and new
ones are being developed every year. The goal of this paper is to follow up on previous …

Data exploration and visualization systems are of great importance in the Big Data era.
Exploring and visualizing very large datasets has become a major research challenge, of …

Abstract The Visual Notation for OWL Ontologies (VOWL) is a well-specified visual language
for the user-oriented representation of ontologies. It defines graphical depictions for most …

We present WebVOWL, a responsive web application for the visualization of ontologies. It
implements the Visual Notation for OWL Ontologies (VOWL) and is entirely based on open …

Recent developments in domains of ambient intelligence (AmI), Internet of Things, cyber-
physical systems (CPS), ubiquitous/pervasive computing, etc., have led to numerous …

Extracting conceptual models from natural language requirements can help identify
dependencies, redundancies, and conflicts between requirements via a holistic and easy-to …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

Abstract Knowledge graphs are an increasingly important source of data and context
information in Data Science. A first step in data analysis is data exploration, in which …

Informatics in materials science and engineering is playing more and more important role in
contemporary society. Intelligent applications such as new materials discovery, materials …

Due to the increasing use of data analytics, information visualization is getting more and
more important. However, as data get more complex, so does visualization, often leading to …