Name
Abstract | ||
|---|---|---|
Open Government Data initiatives in the US, UK and elsewhere have made large amounts of raw data available to the public on the Web. There is enormous potential in applying Linked Data principles to these datasets. This potential currently remains largely untapped because governments lack the resources required to convert from raw data to highquality Linked Data on a large scale. We present a "selfservice" approach to this problem: By connecting a powerful Gridworks-based data workbench application directly to data catalogs, via a standard Data Catalog Vocabulary, data professionals outside of government can contribute to the Linked Data conversion process, thus obtaining data for their own needs and benefiting the larger Linked Government Data effort. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1839707.1839754 | I-SEMANTICS |
Keywords | Field | DocType |
linked data principle,government data,open government data initiative,larger linked government data,enormous potential,linked data,data catalog,data professional,dcat,powerful gridworks-based data,semantics,government catalog,gridworks,rdf,linked data conversion process,standard data catalog,raw data | Data mining,World Wide Web,Self-service,Computer science,Data Catalog Vocabulary,Open government,Raw data,Linked data,Semantics,RDF,Government | Conference |
Citations | PageRank | References |
11 | 0.89 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard Cyganiak | 1 | 3204 | 189.59 |
| Fadi Maali | 2 | 86 | 7.84 |
| Vassilios Peristeras | 3 | 592 | 55.98 |