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Found 5 papers, 5 papers with code
An RML-FNML module for Python user-defined functions in Morph-KGC
The RML mapping language declares schema transformations to map heterogeneous data into knowledge graphs.
Declarative generation of RDF-star graphs from heterogeneous data
RDF-star has been proposed as an extension of RDF to make statements about statements.
Boosting Knowledge Graph Generation from Tabular Data with RML Views
We present our extension of Morph-KGC to efficiently support RML views for tabular sources.
Morph-KGC: Scalable knowledge graph materialization with mapping partitions
Knowledge graphs are often constructed from heterogeneous data sources, using declarative rules that map them to a target ontology and materializing them into RDF.
A High-Level Ontology Network for ICT Infrastructures
The ICT infrastructures of medium and large organisations that offer ICT services (infrastructure, platforms, software, applications, etc.)
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