Name
Abstract | ||
|---|---|---|
This paper introduces a mediation architecture to help describing and consuming statistical data, exposed as RDF triples, but stored in relational databases. The architecture features a catalogue of linked data cube descriptions, created according to the Linked Data principles. The catalogue has a standardized description for each data cube actually stored in each statistical (relational) database known to the mediation environment. The mediator offers an interface to browse the linked data cube descriptions and exports the data cubes as RDF triples, generated on demand from the underlying databases. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2480362.2480432 | SAC |
Keywords | Field | DocType |
linked data principle,consuming statistical data,mediation environment,rdf triple,relational databases,standardized description,data cube description,underlying databases,data cube,mediation architecture,linked data | World Wide Web,Architecture,On demand,Relational database,Computer science,Linked data,Data cube,RDF,Cube | Conference |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lívia Ruback | 1 | 10 | 1.93 |
| Marcia Pesce | 2 | 1 | 0.36 |
| Sofia Manso | 3 | 1 | 0.36 |
| Sérgio Ortiga | 4 | 1 | 0.36 |
| Percy E. Rivera Salas | 5 | 8 | 1.00 |
| Marco A. Casanova | 6 | 1007 | 979.09 |