With the information integration and intelligent embedding of Additive Manufacturing (AM) in
intelligent industrial system applications, the information interoperability and knowledge …

The problems of Data Integration/Exchange (DE) and Ontology Based Data Access (OBDA)
have been extensively studied across different communities. The underlying problem is …

We propose bounded fitting as a scheme for learning description logic concepts in the
presence of ontologies. Two main advantages are (1) theoretical guarantees regarding the …

Over the years, RDF streaming has been explored in research and practice from many
angles, resulting in a wide range of RDF stream definitions. This variety presents a major …

Industrial information models are standardised ways of representing industrial devices,
equipment, and processes together with the data collected from associated sensors and …

CaLiGraph is a large-scale cross-domain knowledge graph generated from Wikipedia by
exploiting the category system, list pages, and other list structures in Wikipedia, containing …

In today's data landscape, data streams are well represented. This is mainly due to the rise
of data-intensive domains such as the Internet of Things (IoT), Smart Industries, Pervasive …

In this paper, we present an evaluation of the performance of five representative RDF
triplestores, including GraphDB, Jena Fuseki, Neptune, RDFox, and Stardog, and one …

Ontologies are used in various domains, with RDF and OWL being prominent standards for
ontology development. RDF is favored for its simplicity and flexibility, while OWL enables …

Simple Summary Ontology-based AI promises a more flexible and cost-effective approach to
the validation of cancer registry data over traditional approaches and may allow a more …