Write SPARQL queries for camera ontology

Description as follows; a) A document [login to view URL] describing an ontology, as a result of a crowd sourced, collaborative editorial work, which describes the world of Cameras. This file is being imported by the prepared application. b) A document [login to view URL] describing persons as individuals. This file is being imported by the prepared application as well. c) A series of individual cameras and their classifications, which are being created by the prepared application. d) The exemplary external LOD resources DBpedia, Wikidata, FactForge, including trillions of RDF triples, and their corresponding SPARQL endpoints a. [login to view URL] b. [login to view URL] c. [login to view URL] Tasks: Task 3. Write SPARQL queries exploring the camera ontology (schema). In particular, the following queries shall be implemented and executed selectively during the viva: a. Show all defined classes and their subclasses b. Show all defined subclasses for the class Purchasable Item c. Show the domain and range specifications for all defined properties (predicates) d. Find all those properties (predicates), which have sub-properties defined Task 4. Given the individual cameras being created as instances within the prepared application, write a SPARQL query, which, once triggered, it produces as output a list of all cameras and their classification. Task 5. Expand the DataFusion knowledge resource camera by inserting fictitious data about purchasers of cameras. This shall take the form of creating at least 10 relationships between persons described in the [login to view URL] document and the individuals cameras. In order to establish this relationship, you should make use of appropriate concepts being defined at [login to view URL] Task 6. Write a SPARQL query, which, once triggered, it produces as output a list of all purchasers having as a predicate the [login to view URL] concept and as objects the purchased camera and its classification. Task 7. Write a SPARQL query, which further explores the external knowledge resources (DBpedia, Wikidata, FactForge) in order to learn more about specific classes of cameras defined in the [login to view URL] ontology. The output of the query shall be a list of properties and values (predicates and objects, respectively) for specific camera classes, which are not known to the [login to view URL] ontology. Task 8. Write a SPARQL query, which further explores the external knowledge resources (e.g., DBpedia, Wikidata, FactForge) in order to learn more about specific individuals defined in the [login to view URL] document. The output of the query shall be a list of properties and values (predicates and objects, respectively) for specific persons, which are not known to the [login to view URL] document. Task 9. Define and implement an algorithm, which detects similar concepts to the concept Camera and ranks their similarity accordingly, in the range [identical = 1 – completely irrelevant = 0]. The similarity shall be detrmined in terms of similar properties / values (predicates / objects) attained from them.