Name
Abstract | ||
|---|---|---|
Visual SPARQL query notations aim at easing the RDF data querying task. At the current state of the art there is still no generally accepted visual graph-based notation suitable to describe RDF data analysis queries that involve aggregation and subqueries. In this paper we present a visual diagram-centered notation for SPARQL select query formulation, capable to handle aggregate/statistics queries and hierarchic queries with subquery structure. The notation is supported by a web-based prototype tool. We present the notation examples, describe its syntax and semantics and describe studies with possible end users, involving both IT and medicine students. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-14401-2_5 | MTSR |
Field | DocType | Citations |
Graph,Notation,End user,Information retrieval,Computer science,SPARQL,Visual notation,Syntax,RDF,Semantics | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karlis Cerans | 1 | 314 | 48.74 |
| Agris Sostaks | 2 | 23 | 9.96 |
| Uldis Bojars | 3 | 357 | 32.14 |
| Juris Barzdins | 4 | 4 | 3.23 |
| Julija Ovcinnikova | 5 | 15 | 5.72 |
| Lelde Lace | 6 | 35 | 11.36 |
| Mikus Grasmanis | 7 | 0 | 2.37 |
| Arturs Sprogis | 8 | 75 | 11.47 |