This workflow demonstrates how insert triples from a table to an In-Memory Endpoint using the SPARQL Insert node.
This workflow demonstrates how to insert triples to an endpoint directly from a file.
This workflow demonstrates a possible use of the semantic web plugin nodes. We query dbpedia to retrieve all the chalboard gags from the intros of the episodes from The Simpsons to build a tag cloud based on the retrieved text.
Tag: Semantic Web, dbpedia, Tag Cloud
This workflow demonstrates how to us the SPARQL Executor node. The Exector node allows to perform custom update SPARQL queries. The two examples demonstrate how to do a more individual sparql query using the SPARQL Executor node.
Public endpoints often have a limited return (say 10000 triples) to overcome this and do larger queries one can work with OFFSET if necessary. This can be implemented in knime using the Java Snippet node and Flow Variables. (Use responsibly)
This workflow demonstates how to perform a SELECT query on different endpoints.
This can either be a Virtuoso Endpoint, a different SPARQL Endpoint or an In-Memory Endpoint.
This workflow demonstrates how to Update triples stored in an endpoint. Pay attention to the update rules described in the SPARQL Update node description.
This workflow demonstrates how to write triples to files either directly from the Endpoint or from Table.
Files can be written either directly from a graph residing in an endpoint or from a table containing triples (as they might result from a SPARQL SELECT Query).
This workflow demonstrates how insert triples to named graphs and shows the result from possible queries.
This workflow implements a dbpedia query and returns the sorted number of hours of sun in July in locations in Italy. After defining the gray to yellow heat map, it displays cities as colored points on a map of Italy, with the OSM Map View node, included in the KNIME extension for the Open Street Map integration.