Name
Title | ||
|---|---|---|
From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data. |
Abstract | ||
|---|---|---|
Some particularly important rich sources of open and free big geospatial data are the Earth observation (EO) programs of various countries such as the Landsat program of the US and the Copernicus programme of the European Union. EO data is a paradigmatic case of big data and the same is true for the big information and big knowledge extracted from it. EO data (satellite images and in-situ data), and the information and knowledge extracted from it, can be utilized in many applications with financial and environmental impact in areas such as emergency management, climate change, agriculture and security.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3269206.3274270 | CIKM |
Keywords | Field | DocType |
Semantic web, linked geospatial data, Earth observation data, Copernicus program | Geospatial analysis,Data science,Climate change,Information retrieval,Environmental impact assessment,Computer science,Emergency management,Semantic Web,Earth observation,Big data,European union | Conference |
ISBN | Citations | PageRank |
978-1-4503-6014-2 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantina Bereta | 1 | 79 | 12.13 |
| Manolis Koubarakis | 2 | 2790 | 322.32 |
| Stefan Manegold | 3 | 1656 | 123.43 |
| George Stamoulis | 4 | 11 | 4.29 |
| Begüm Demir | 5 | 339 | 30.36 |