Open r4space opened 6 years ago
Isn't this more or less what we proposed in the grant? If so, we should think about structuring this workflow in a way that it's effectively a pilot/proof of concept for a bigger project.
Partly but significantly minus LDF plans - looking for smallest instantiation we can make given none of us have any funded time to spend on this right now.
Copying from a email thread with @lewismc - we can start with building on simple start he made a while ago with this trivial demo using CO2 data and ESIP's SPARQL end point (obv before we had semantic models) eg: http://cor.esipfed.org/ont/~lmcgibbn/morning1v2
The ESIP Community Ontology Repository (COR) REST API documentation is available at http://cor.esipfed.org/ontapi/
You can essentially upload an ontology file e.g. http://cor.esipfed.org/ontapi/#!/ontology/uploadOnt the register it e.g. http://cor.esipfed.org/ontapi/#!/ontology/addOnt
Some minimal work needed to enable GeoSPARQL quering
In order to build momentum/motivate for further effort we need a way of showing the value of this to data providers and end users (by which I just mean Scientists xyz not institutions /etc even)
So looking for ideas for minimal demonstration options;
Use SOSA and our basic model to represent one of Joe's platforms - 3DR solo plus camera - in RDF, alongside some associated imagery+metadata also in RDF? If the ESIP SPARQL end point can also render the images that could be a easy-ish small demo?
More effort: setup a autoingestion system s.t data can stream from a drone - be transformed - and have a dynamic query running that pushes out a graph/some graphic response. I'm thinking eg: real time averaging of temp values, or even better if we had 2 independent sources of data that were both queried and combined (drone plus online weather station/something)