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QueDI: From Knowledge Graph Querying to Data Visualization [chapter]

Renato De Donato, Martina Garofalo, Delfina Malandrino, Maria Angela Pellegrino, Andrea Petta, Vittorio Scarano
2020 Lecture Notes in Computer Science  
We propose QueDI (Query Data of Interest), a question-answering and visualization tool that implements a scaffold transitional approach to 1) query LOD without being aware of SPARQL and representing results  ...  While Open Data (OD) publishers are spur in providing data as Linked Open Data (LOD) to boost innovation and knowledge creation, the complexity of RDF querying languages, such as SPARQL, threatens their  ...  Our proposal, QueDI, is a guided workflow from KG querying to data visualization. Users can query LOD by FSI enhanced by an NL query.  ... 
doi:10.1007/978-3-030-59833-4_5 fatcat:qrf3dopt55exbglp2fpyt6oqbe