Tribhuvan University
Bachelor of Computer Application
Semester 8 · TU Board 2022
Course Title: Knowledge Engineering (CACS458)
Full Marks: 60Pass Marks: 24Time: 3 hours
Candidates are required to answer the question in their own words as far as possible.
Group B
Attempt any SIX question.(6 × 5 = 30)
- 2.5
Explain the concept of representation. How does probabilistic reasoning handle uncertainty in knowledge representation?
- 3.5
What is ontology? How can it be used in knowledge engineering?
- 4.5
Explain how predicates can be used for knowledge representation and reasoning with examples.
- 5.5
What is semantic web? What are the major challenges in sematic web?
- 6.5
What are RDF and linked data? What are the principles of linked data?
- 7.5
Differentiate between classification and clustering. Explain four stages of case based reasoning.
- 8.5
Write short notes on (any two): a) Linear classifier b) Parsing c) Description logic
Group C
Attempt any TWO questions(2 × 10 = 20)
- 9.10
Why knowledge acquisition is required? Explain the knowledge acquisition process in detail.
- 10.10
What is the role of POS tagging in natural language processing? How NER can be used for information extraction process? Explain.
- 11.10
What are support vectors and margins? How these concepts are used in Support Vector Machines to classify the datasets? Explain in detail.
— The End —