Achieving interoperability is a crucial factor for realizing the Industry 4.0 (I4. 0) vision. In I4. 0
different systems exist, and the demand for the creation of an integrated view using the …

In the last decades, Knowledge Graph (KG) empowered analytics have been used to extract
advanced insights from data. Several companies integrated legacy relational databases with …

Model Based Systems Engineering (MBSE) supports Cyber-Physical Systems (CPS) design,
by experts from various domains, through complex workflows, manipulating models in …

SPARQL endpoints provide access to rich sources of data (eg knowledge graphs), which
can be used to classify other less structured datasets (eg CSV files or HTML tables on the …

In order to improve the adoption of knowledge graphs (KG) in everyday work, non-technical
users must be empowered to not only view but to write data in a KG. Whereas most available …

A prominent problem in knowledge representation is how to answer queries taking into
account also the implicit consequences of an ontology representing domain knowledge …

Semantic web transforms web search, enhancing data retrieval and storage. It enables
machines to interpret online content through diverse technologies for data integration …

There is a crucial need for tools to help designing sustainable agrosystems. In this paper, we
consider the issue of selecting plant species according to the ecosystem services they are …

Systematical Representation of RDF-to-Relational Map**s for Ontology-Based Data
Access | SpringerLink Skip to main content Advertisement Springer Nature Link Account …

Model-Driven Architecture (MDA) is based on model transformation languages. This thesis
is dedicated to addressing the challenges in effectively implementing model transformation …