Context
The BALD CLI and library allow you to specify contextual prefix mappings to be resolved in the NetCDF metadata as described in the draft specification.
CLI
You can provide the context as a set of JSON-LD files.
Use the --context
or -c
option to specify the locations of the context files
as a comma-delimited list.
Example
java -jar bald-cli.jar --context /path/to/context.json /path/to/netcdf.nc /path/to/graph.ttl
Library
For simple usage, use the NetCdfLd.convert
method as described here.
Alternatively, you can provide the context as an Apache Jena prefix mapping.
Pass a prefix mapping (or list of mappings) to the ModelContext.create
method to create a ModelContext
instance.
You may also create your own implementation of ModelContext
.
You can pass this instance to the NetCdfBinaryArray.create
method to create a binary array with the given context.
Note that you can pass both a contextual prefix mapping, and an alias definition
to create a BinaryArray
with both.
Example
PrefixMapping prefix = ModelFactory.createDefaultModel().read("/path/to/context.json", "json-ld");
ModelContext context = ModelContext.create(prefix);
BinaryArray ba = NetCdfBinaryArray.create("/path/to/input.nc", "http://test.binary-array-ld.net/example", context, null, null);
Model model = ModelBinaryArrayConverter.convert(ba);
try (OutputStream output = new FileOutputStream("/path/to/output.ttl")) {
model.write(output, "ttl");
}