Assignment Task
The goal of this coursework is to put the ontology modelling semantic data development, Description Logic (DL) and SWRL skills into practice that you have learnt in the Semantic Web lectures and labs in a larger project.
Your task is to define, populate and query an ontology (including A-Box and a T-box) on a topic of your choice. The ontology must be able to integrate and reuse already available semantic data. At least two concepts of the ontology T-Box must be taken from external semantic data repositories. This way, the ontology will have an A-Box that can be populated with already existing data. You will use Protégé to design the ontology, and Python-based semantic tooling to populate the ontology with real world data.
Task
Basic
Define your ontology in OWL2. The T-Box must be created using Protégé and should be your own work (not an existing ontology, but may import existing ontologies). Populate the knowledge base from an external semantic data repository using SPARQL 1.1. Verify that you can also query the local ontology using SPARQL.
Bonus
As above, but your ontology should fuse information from at least two distinct external data repositories. The query to your local ontology should answer questions that cannot be answered by either remote knowledge base alone. Bonus Task 2 (20% coursework marks): You are required to use Description Logic rules to define as many concepts as possible with the help of SWRL rules in order to compensate for the limitations of the Protégé inference engines with DL. The A-Box (individuals) must be created in a way to demonstrate the correctness and effectiveness of the logic rules defined.
A Report
English how you constructed the ontology: you should say where you got the data from, and you should also say what difficulties you encountered and how you solved them. The document must have also a final section explaining what source code files and models are included, and the required steps to run the code. You are expected to submit a report explaining your assignment. If you fail to submit a report with your ontology and python files, you might receive as it is the only way of proving the work is yours.
- A Protégé-OWL ontology
- A python script (.py) that can be used to populate the ontology from a SPARQL endpoint.
- Another python script that queries the local store to demonstrate to the user that information can be easily accessed. To test the system, the user should be able to execute any arbitrary query supported by your ontology
