Name
Abstract | ||
|---|---|---|
We present UnifiedViews, an Extract-Transform-Load (ETL) framework that allows users to define, execute, monitor, debug, schedule, and share data processing tasks, which may employ custom plugins (data processing units) created by users. UnifiedViews natively supports processing of RDF data. In this paper, we: (1) introduce UnifiedViews' basic concepts and features, (2) demonstrate the maturity of the tool by presenting exemplary projects where UnifiedViews is successfully deployed, and (3) outline research projects and future directions in which UnifiedViews is exploited. Based on our practical experience with the tool, we found that UnifiedViews simplifies the creation and maintenance of Linked Data publication processes. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3233/SW-180291 | SEMANTIC WEB |
Keywords | Field | DocType |
ETL,data management,data processing,RDF data,linked Data | Data science,Psychology,Data management,Applied psychology,RDF | Journal |
Volume | Issue | ISSN |
9 | 5 | 1570-0844 |
Citations | PageRank | References |
1 | 0.48 | 10 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomas Knap | 1 | 78 | 9.45 |
| Peter Hanecák | 2 | 1 | 0.48 |
| Jakub Klímek | 3 | 170 | 21.23 |
| Christian Mader | 4 | 1 | 0.48 |
| Martin Nečaský | 5 | 314 | 41.85 |
| Bert Van Nuffelen | 6 | 189 | 12.33 |
| Petr Skoda | 7 | 39 | 9.56 |