Name
Abstract | ||
|---|---|---|
SparqlFilterFlow provides a visual interface for the composition of SPARQL queries, in particular SELECT and ASK queries. It is based on the intuitive and empirically well-founded filter/flow model that has been extended to address the unique specifics of SPARQL and RDF. In contrast to related work, no structured text input is required but the queries can be created entirely with graphical elements. This allows even users without expertise in Semantic Web technologies to create complex SPARQL queries with only little training. SparqlFilterFlow is implemented in C#, supports a large number of SPARQL constructs and can be applied to any SPARQL endpoint. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11955-7_49 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
SPARQL,RDF,Visual querying,Filter/flow,Semantic web,Linked data,Triplestore,Query language,Visualization,Faceted search | Web search query,RDF query language,Query language,Information retrieval,Triplestore,Computer science,Linked data,Semantic Web,SPARQL,RDF | Conference |
Volume | ISSN | Citations |
8798 | 0302-9743 | 5 |
PageRank | References | Authors |
0.67 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Haag | 1 | 85 | 10.30 |
| Steffen Lohmann | 2 | 629 | 65.25 |
| Thomas Ertl | 3 | 4417 | 401.52 |