The Most Important People Of The Last 15 minutes in GKG
- 1 query
- 20 minutes
- 15 minutes
Ingredients
- GDELT Global Knowledge Graph Stream
- An R2RML Mapping
- An RML Mapping Engine
- An RDF Stream Processor, e.g., YASPER
- Data Visualization Technique
Directions
- Access the Web Stream
- Convert the stream into RDF to simplify data integration using the R2RML mapping and the mapping engine
- Design your query on paper simple SPARQL syntax
- Extend the SPARQL query to RSP-QL by adding the prescribed window operator
- Verify if the syntax is correct registering the query to YASPER
- Deploy and wait for the results (every 15 minutes)
Several studies have been running using GDELT. In particular, data
visualization techniques that take into account the spatio-temporal
metadata of GDELT extracted events. GDELT offers different APIs to run
analysis and a Google Big Query[^3] access to the database. GDELT
exposes examples of pre-configures analyses via the analysis service.
For instance, the Event TimeMapper visualizes events matching a given
search over time.
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