https://github.com/open-risk-academy/academy-course-pyt26060

Supporting material for the Open Risk Academy course: "An introduction to Semantic Python"
https://github.com/open-risk-academy/academy-course-pyt26060

elearning owl-ontology rdflib semantic-web shacl

Last synced: 22 days ago
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Supporting material for the Open Risk Academy course: "An introduction to Semantic Python"

• Host: GitHub
• URL: https://github.com/open-risk-academy/academy-course-pyt26060
• Owner: Open-Risk-Academy
• Created: 2021-02-18T14:51:48.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2023-09-29T09:50:27.000Z (about 1 year ago)
• Last Synced: 2024-01-26T08:46:40.780Z (11 months ago)
• Topics: elearning, owl-ontology, rdflib, semantic-web, shacl
• Language: Python
• Homepage: https://www.openriskacademy.com/course/view.php?id=60
• Size: 128 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
## Resource Repository for the Open Risk Academy Course PYT 26060

![Semantic Python Logo](./SemanticPython.png)

* This repo collects resources (data and python scripts) used in the [course PYT26060](https://www.openriskacademy.com/course/view.php?id=60)

* It uses the [CRO Ontology Graph](https://www.openriskmanual.org/ns/cro/index-en.html) as the raw material to illustrate a number of Python tools for working with semantic data

* Discuss the course at the [Open Risk Commons](https://www.openriskcommons.org/t/overview-of-python-semantic-web-tools/62)

## 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](https://www.esma.europa.eu/supervision/credit-rating-agencies/risk). 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](https://www.openriskcommons.org/t/overview-of-python-semantic-web-tools/62)

- 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](https://www.openriskmanagement.com/academy-courses/)