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 …

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 …

In this paper, we present the Ontology Matching EvaLuation Toolkit (MELT), a software
toolkit to facilitate ontology matcher development, configuration, evaluation, and packaging …

Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently
difficult. In our experiences, we have found this to be the case for several reasons:(i) differing …

Recent developments in data analysis and machine learning support novel data-driven
operations optimizations in the real estate industry, enabling new services, improved well …

In the last decade, ontologies have become widely adopted in a variety of fields ranging
from biomedicine, to finance, engineering, law, and cultural heritage. The ontology …

Abstract The Internet of Musical Things (IoMusT) is an emerging research area consisting of
the extension of the Internet of Things paradigm to the music domain. Interoperability …

Background Web-based resources and social media platforms play an increasingly
important role in health-related knowledge and experience sharing. There is a growing …

Computational ontologies are machine-processable structures which represent particular
domains of interest. They integrate knowledge which can be used by humans or machines …