A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …

With the modernization of industry and introduction of IoT, maintenance practices have been
moving from reactive to proactive and predictive approaches. The identification of faults …

Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the
collective management of evolving knowledge. The present work aims to provide an …

To reduce the conceptual ambiguity in interdisciplinary knowledge organization systems
(KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework …

Ontologies are becoming a key component of numerous applications and research fields.
But knowledge captured within ontologies is not static. Some ontology updates potentially …

Web vocabularies (WV) have become a fundamental tool for structuring Web data: over 10
million sites use structured data formats and ontologies to markup content. Maintaining …

Knowledge graphs (KGs) provide information in machine interpretable form. In cases where
multiple KGs are used in the same system, that information needs to be integrated. This is …

Updates on ontologies affect the operations built on top of them. But not all changes are
equal: some updates drastically change the result of operations; others lead to minor …

Nation Wide Digital Twin is an emerging paradigm that pushes the context of a classical
Digital Twin to a whole country. Under this perspective, models, which are central for digital …

Automatically detecting and measuring differences between evolving Knowledge Graphs
(KGs) has been a topic of investigation for years. With the rising popularity of embedding …