Ontology in AI Unit-2

What is an ontology in AI?

• A database schema

• A formal specification of a set of concepts and relationships

• A logical proof

• A physical system description

Ontological categories are used to:

• Compile code

• Classify and structure types of knowledge

• Encode cryptography

• Build neural networks

Which branch of philosophy is most associated with ontology?

• Metaphysics

• Epistemology

• Ethics

• Aesthetics

What are top-level categories in ontology?

• Specific instances

• General, abstract categories at the highest level of classification

• File structures

• Input-output models

Which of these is an example of a physical entity in ontology?

• Justice

• Chair

• Thought

• Algorithm

Which of the following best defines an abstraction?

• Tangible object

• Digital memory

• Concept without physical form

• Chemical property

Sets in ontology represent:

• Network ports

• Groups of objects sharing common properties

• Device configurations

• Neural weights

What is a “type” in ontological modeling?

• A string variable

• A general concept classifying objects

• A machine language code

• A UI component

Which of the following is an example of a collection?

• A single number

• An algorithm

• A group of books in a library

• A scalar value

The difference between a set and a collection is:

• Sets are larger

• Collections may allow duplicates; sets usually do not

• Sets are less structured

• Collections are not used in AI