Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

Purpose This paper aims to offer a comprehensive examination of the various solutions
currently accessible for addressing the challenge of semantic interoperability in cyber …

Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …

With the development of Industry 4.0 technology, modern industries such as Bosch's welding
monitoring witnessed the rapid widespread of machine learning (ML) based data analytical …

The ongoing industrial revolution termed Industry 4.0 (I4. 0) has borne witness to a series of
profound changes towards increasing smart automation, particularly in the industrial sectors …

Data analytics including machine learning (ML) is essential to extract insights from
production data in modern industries. However, industrial ML is affected by: the low …

Automatic knowledge graph (KG) construction is widely used for eg data integration,
question answering and semantic search. There are many approaches of automatic KG …

Visual analytics has been important for many data-driven applications in modern industries.
However, there has been limited research of semantic technologies for visual analytics …

Abstract With the Machine Learning (ML) field rapidly evolving, ML pipelines continuously
grow in numbers, complexity and components. Online platforms (eg, OpenML, Kaggle) aim …

At the heart of smart manufacturing is real-time semi-automatic decision-making. Such
decisions are vital for optimizing production lines, eg, reducing resource consumption …