Resource Repository for the Open Risk Academy Course PYT 26060

• This repo collects resources (data and python scripts) used in the course PYT26060
• It uses the CRO Ontology Graph as the raw material to illustrate a number of Python tools for working with semantic data
• Discuss the course at the Open Risk Commons

Scripts

Step 2

• hello_world_rdflib.py (load and parse a file containing rdf triples)
• explore_rdf_file.py (print out statistics about an rdf graph)
• filter_rdf_file.py (filter triples matching specific criteria)
• json_to_rdf.py (convert a json file to rdf)

Step 3

• hello_world_owlready.py (loading, parsing and printing ontology properties)
• json_to_owl.py (convert a json file to owl class instances)

Step 4

• hello_world_jsonld.py (convert an ontology form rdf/xml format to json-ld format)
• json_to_jsonld.py (convert a json file into a json-ld serialized set of owl class instances)

Step 5

• hello_world_pyshacl.py (validate an OWL graph using a SHACL shape file)

Data sets (only the input files - various files are created during the course)

• cro.owl an ontology file serialized in rdf/xml format
• ecai_list.json a json file with credit rating agency data (from ESMA)
• shacl_graph.ttl (a SHACL validation shape)

DISCLAIMER

• The credit rating agency data sets included in this repo are actual published data obtained from ESMA. They are only used here for educational purposes.

Where To Get Help:

If you get stuck on any issue with the course or the Academy:

• If the issue is related to the course topics / material, check in the first instance the Course Forum (Chat)
• Join the course discussion in the Open Risk Commons
• If the issue is related the operation of the Open Risk Academy check first the Academy FAQ
• If the issue persists contact us at info at openrisk dot eu

Academy Course Catalog

• Course List and Description