For the following scenario create a semantic network. A semantic network is a knowledge representation approach used in artificial intelligent so that we can create AI systems. It allows us to take the information collected in the knowledge acquisition phase and create a diagram that can be implemented in code by showing the rules, facts and relationships between people, objects and concepts.
Your semantic network should use the appropriate notation, include relationships between the different elements, as well as the facts and rules in the scenario. It should be developed in such a way that it is easy to convert the semantic network into a knowledge base using a programming language such as Prolog.
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Once you have created your semantic network, use Prolog to create a section of the semantic web that includes at least 10 facts, at least 2 rule and at least 2 query. You should represent in the rules and queries inheritance in the knowledge base.
You should choose another knowledge representation approach and then describe how the representation would be different from the semantics network approach. There should be examples of how the representations would different and an indication of the best approach and why.
The scenario to model
· Mark, Shila, James and Ethel are stage actors rehearsing for their forthcoming shows.
· Actors eat 4000 calories a day and drink 5 cups of coffee.
· Ethel and Shila are in Phantom of the Opera and Mark and James are in Macbeth.
· Phantom of the Opera is a musical and Macbeth is a play.
· On average these four actors rehearse for 8 hours a day.
· To be a singer in Phantom of the Opera the men must be over 6 feet and weigh less than 110kg.
· Ethel and Shila’s coach is Cornelius and James and Mark’s coach is Stefan.
· Both Cornelius and Stefan used to be actor.
· Ethel has the lowest body fat, James second lowest, Shila third lowest and Mark the highest.
· In the last year Ethel has been in 5 productions, James 1 production, Shila 2 and Mark 3.
· Phantom of the Opera was written by Webber. MacBeth was written by .
The semantic network represents all of the components of the actor scenario. The scenario is fully represented in the semantic network.
All the required nodes are included. These will represent the people, places and features of the actor scenario in a great deal of detail.
All of the required arcs are included. These will represent all of the required associations between the components of the scenario.
The notation follows the accepted approach.
It is likely that a person could take the semantic network and represent the trip fully in a system.
There is excellent understand of an alternative representation approach and how the representation will differ from the semantic network. There is a detailed comparison of the representation approaches and a comprehensive selection examples of the different representations from the scenario. There is a recommendation of the best approach.
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