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I need a full explanation of every part of the question. Design an ontology in Protege Design a simple ontology that automatically classifies types of

I need a full explanation of every part of the question.

Design an ontology in Protege

Design a simple ontology that automatically classifies types of dogs according to its:

o Breed (e.g., Siberian husky, German shepherd, Collie, Doberman, etc.)

o Physical traits (e.g., size, weight, suspension, metabolism, coat type, etc.)

o Other traits (e.g., behavior, shedding cycle, drooling, trainability, etc.)

However, keep in mind that you are *not* supposed to produce a comprehensive ontology. You are only required to create a few classes and object properties that would result in the reasoner classifying (1) a dog individual according to the characteristics above, and (2) a given dog class according to the characteristics of a special class.

Example of the first: you enter a dog with characteristics "hasTrainability" = Difficult AND "hasOrigin" = Japan AND "hasLoyaltyToOwner" = High, and the reasoner would conclude that the individual is a member of the class Akita (a subclass of WorkingDogBreeds).

Example of the second: you create a class "SuitableForOlderOwners", define the characteristics/traits for such class and the reasoner would classify some of the breed classes as part of the class "SuitableForOlderOwners"

Note: you can implement the above two examples for fun/training, but they will not be considered for grading. You must define your examples that must be compatible with the goals and scope of the ontology you are creating. (100 points)

a) Defined and documented clear scope and goals for your ontology:

b) Produced an OWL file that has some Dog classes and instances listed:

c) Produced an OWL file that has properties (object and/or data properties):

d) Running a reasoner would generate 6 automatic classifications:

e) Explain how your ontology works and achieves its intended goals (i.e., document your code, annotations, etc.):

f) Make more than 3 SRWL rules producing useful results:

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