Name
Abstract | ||
|---|---|---|
We present UnifiedViews, an Extract-Transform-Load (ETL) framework that allows users to define, execute, monitor, debug, schedule, and share ETL data processing tasks, which may employ custom plugins created by users. UnifiedViews differs from other ETL frameworks by natively supporting RDF data and ontologies. We are persuaded that UnifiedViews helps RDF/Linked Data consumers to address the problem of sustainable RDF data processing; we support such statement by introducing list of projects and other activities where UnifiedViews is successfully exploited. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11955-7_52 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Ontology (information science),Data processing,Information retrieval,Computer science,Linked data,Data processing system,SPARQL,Plug-in,RDF,Debugging | Conference | 8798 |
ISSN | Citations | PageRank |
0302-9743 | 5 | 0.59 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomas Knap | 1 | 78 | 9.45 |
| Maria Kukhar | 2 | 5 | 0.59 |
| Bohuslav Machác | 3 | 5 | 0.59 |
| Petr Skoda | 4 | 39 | 9.56 |
| Jirí Tomes | 5 | 5 | 0.59 |
| Ján Vojt | 6 | 5 | 0.59 |