Semantic Web The goal of this coursework is to put into practice the ontology modelling and semantic data development skills that have been exercised in the Semantic Web labs with a larger project. The task is to define ontology on one topic that you have selected. The ontology must be able to integrate and reuse already available semantic data. At least three 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 the Python-based semantic tooling to retrieve the information and integrate the modelled ontology with real world data. You should submit a zip file with the following elements: ? A ProtĂŠgĂŠ-OWL ontology ? A pdf document describing, in 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. ? A python script (.py) that queries at least one external SPARQL ? Endpoint, retrieves triples from it, and merges them using the ontology with some already existing data taken from another resource and committed to your RDF Store ? Finally, the program should execute a query over the local store and demonstrate to the user that information from two distinct resources has been successfully merged and can be easily accessed. To test the system, the user should be able to execute any arbitrary query supported by your ontology. Examples This assignment is intended to be open ended and exploratory in nature. However for illustration, some examples of possible approaches could be: Create and populate an ontology covering movies and cities which could be queried to find movies filmed in cities with a population less than 1M; or create and populate ontology about companies including…