Explain the role of Artificial Intelligence in Knowledge Engineering. [1+4]
Briefly explain parsing in NLP with an example. [1+4]
What is case-based reasoning? Provide one example. [1+4]
What is probabilistic reasoning? Give an example of its application. [1+4]
Explain the methodology used in ontology development. [1+4]
What is description logic? Give a simple example. [5]
Define RDF and its role in semantic web. [5]
Attempt any TWO questions
[2x10=20]Consider the following sentences:
Kapil likes all kinds of food
Apples are food
Chicken is food
Anything anyone eats and is not killed by is food
Kamal eats peanuts and is still alive.
Write predicate logic for the above sentences, convert them into CNF and Prove that Kapil likes peanuts. [3+3+4]
Discuss the process of information gathering and retrieval in Knowledge Acquisition. Explain the major applications of NLP in Knowledge Engineering with suitable examples. [5+5]
Explain the working principles, advantages, and disadvantages of any three classification algorithms. [10]