Discuss the advantages and limitations of using Knowledge-Based Systems in healthcare. Provide specific examples of how KBS can be applied in this domain.
What is Part-of-Speech (POS) tagging, and why is it important in Natural Language Processing? Provide an example of POS tagging for a simple sentence.
Differentiate between Supervised and Unsupervised learning with example.
Explain the term "propositional logic" and its use in knowledge representation. How does it differ from predicate logic?
Compare and contrast the concepts of ontology and language in the context of Knowledge Engineering. How does each contribute to the representation and sharing of knowledge?
Describe the role of OWL (Web Ontology Language) in ontology engineering. How does it support the creation and use of ontologies?
Write short notes on (any two)
a) Random Forest
b) AI in Knowledge Engineering
c) social web
Attempt any TWO questions
[2x10=20]Compare the performance of the Nearest Neighbor algorithm with other classification algorithms like Decision Trees and Support Vector Machines (SVM). Given the following dataset with two features (x1, x2) and a binary class label, use the k-Nearest Neighbor algorithm to classify a new data point. Calculate the Euclidean distance and determine the class of the new data point (5,6).
| x1 | x2 | Class |
| 2 | 3 | A |
| 4 | 7 | B |
| 5 | 5 | A |
| 6 | 8 | B |
| 7 | 2 | A |
Discuss the concept of the Semantic Web and its significance in modern data management and integration. Explain the role of RDF (Resource Description Framework) in the Semantic Web and how it facilitates the creation and use of linked data. Illustrate your answer with examples of practical applications where Semantic Web technologies, RDF, and Linked Data are effectively utilized.
Discuss the applications of Natural Language Processing (NLP) with a focus on how it leverages morphology, lexicon, syntax, and semantics. Provide examples of real-world applications where these components are crucial for processing and understanding human language.