Name
Abstract | ||
|---|---|---|
Statistical data is present everywhere--from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, and using this data has entered a new stage. In order to enable proprietary, closed-world formats, to enter the Web of Data, we propose a framework for modelling and publishing statistical data. To illustrate the usefulness of our approach we demonstrate its application in real-world statistical datasets. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02121-3_52 | ESWC |
Keywords | Field | DocType |
new stage,real-world statistical datasets,statistical data,governmental body,closed-world format,database management,web of data,statistics | Data science,Data mining,Web intelligence,Web mining,Data mapping,Computer science,Semantic Web,Web modeling,World Wide Web,Information retrieval,Web mapping,Web standards,Data Web | Conference |
Volume | ISSN | Citations |
5554 | 0302-9743 | 55 |
PageRank | References | Authors |
5.95 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Hausenblas | 1 | 478 | 52.35 |
| Wolfgang Halb | 2 | 122 | 15.99 |
| Yves Raimond | 3 | 373 | 45.93 |
| Lee Feigenbaum | 4 | 120 | 14.11 |
| Danny Ayers | 5 | 80 | 14.14 |