Search Results for author:
Found 7 papers, 6 papers with code
Declarative generation of RDF-star graphs from heterogeneous data
RDF-star has been proposed as an extension of RDF to make statements about statements.
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.)
Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications
In the absence of sufficient medication for COVID patients due to the increased demand, disused drugs have been employed or the doses of those available were modified by hospital pharmacists.
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
We propose FunMap, an interpreter of function-based mapping languages; it relies on a set of lossless rewriting rules to push down and materialize the execution of functions in initial steps of knowledge graph creation.
Databases
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as data structures to integrate data and knowledge harvested from myriad data sources.
Databases
Enhancing Virtual Ontology Based Access over Tabular Data with Morph-CSV
In the specific case of tabular datasets represented as several CSV or Excel files, query translation approaches have been applied by considering each source as a single table that can be loaded into a relational database management system (RDBMS).
Databases
