1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DB2026
ChemDCAT-AP: Enabling Semantic Interoperability with a Contextual Extension of DCAT-AP
Philip Stroemert, Hendrik Borgelt, David Linke +4
Cross-domain data integration drives interdisciplinary data reuse and knowledge transfer across domains. However, each discipline maintains its own metadata schemas and domain onto…
cs.NE2023★ 1 cited
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts
Lukáš Korel, Alexander S. Behr, Norbert Kockmann +1
This paper provides an insight into the possibility of how to find ontologies most relevant to scientific texts using artificial neural networks. The basic idea of the presented ap…