Consider the following RDFS ontology describing CT geography: :Hartford rdf:type :City . :Waterbury rdf:type :City . :Hartford :capitalOf :Connecticut . :Hartford :hasInhabitants 337522 . :Newington rdf:type :City . :Newington :hasInhabitants 59793 . :I84 rdf:type :Highway . :I95 rdf:type :Highway . :NewHaven rdf:type :City . :NewHaven :locatedOn :I95 . :CT10 rdf:type :Road . :CT15 rdf:type :Road . :Southington :locatedOn :CT10 . :Southington :locatedOn :I84 . :Hartford :locatedOn :I84 . :Newington :locatedOn :CT15 . :Newington :locatedOn :I84 . :NewBritain :locatedOn :I84 . :Berlin :locatedOn :CT15 . :NewBritain rdf:type ex:City . :NewBritain :hasInhabitants 69876 . Write SPARQL queries to retrieve the following information from the above dataset: 1. List all highways and the cities along each of them. 2. List all cities and, in case a city is a capital, list also the state. 3. List all cities that are located at the crossing of at least two highways or roads and these highways. 4. List all cities and their number of inhabitants, if available. 5. List all cities that have more than 60000 inhabitants. PLZ CAN YOU ANSWER THIS ONE ALSO