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 …

Pursuing manufacturing competitiveness in the dynamic industrial landscape necessitates
implementing changeable and reconfigurable manufacturing systems (RMS) capable of …

The emergence of COVID-19 caused the stagnation of production activities and promoted
the changing market demand. These uncertainties not only brought great challenges to the …

As the production orders are becoming multi-category and small-batch in the era of product
personalization, these require frequent reconfiguration of reconfigurable flexible assembly …

The increasing demand for personalized products and cost-effectiveness has highlighted
the necessity of integrating intelligence into production systems. This integration is crucial for …

This paper presents a knowledge graph-based learning approach, featuring knowledge
graphs for concept visualisation and information retrieval. It illustrates the development of a …

Numerous digitization initiatives and activities in manufacturing led to an enormous increase
in available and accessible data. Knowledge graphs (KGs) become increasingly popular in …

Abstract Knowledge graphs are generating significant interest in industry and research.
These graphs can be enriched with data to represent aspects of production systems such as …

This study conducts a systematic literature review to explore the current state of the art of
evolvable KGs in manufacturing, which have an important role in the era of Industry 4.0 and …

This thesis aims to answer the need for integrating existing information systems, and in more
detail, the enterprise application (s) to knowledge graph-based systems, like artificial …