How are literals with language represented in Turtle notation?

Enclosing the text in double quotes

What is the primary goal of using Semantic Networks in AI?

To simplify knowledge representation

To complicate knowledge representation

To represent procedural knowledge

What is knowledge engineering in AI?

A. The process of acquiring, representing, and reasoning with knowledge to solve problems.

B. The study of natural language processing algorithms.

C. The development of neural networks for deep learning.

D. The creation of expert systems for medical diagnosis.

Which methodology was specifically designed for building expert systems?

C. Knowledge Acquisition and Documentation Structuring (KADS)

B. Rapid application development

What role does knowledge engineering play in AI systems?

C. It structures knowledge for machine use in problem-solving.

A. It focuses on hardware optimization.

B. It ensures efficient memory management.

What is an ontology in AI?

B. A structured framework for categorizing and organizing information.

A. A type of neural network architecture.

C. A method for data encryption.

D. A programming language for AI development.

How do ontologies enhance data management in AI?

By providing a common understanding of data

By automating data cleaning processes.

By improving hardware performance

What is a disadvantage of using ontologies in AI?

D. They are resource-intensive to create.

A. They require minimal effort to build.

B. They easily adapt to evolving data scenarios.

C. They may lead to overfitting.

What is a key advantage of using ontology-based reasoning?

C. It addresses multiple challenges concurrently.

A. It relies on deep learning techniques.

B. It is exclusive of other AI approaches.

D. It requires minimal computational resources.

What is the relationship between RDF and OWL?

B. RDF and OWL are completely different technologies.

C. RDF provides standardizations for OWL vocabulary.

D. RDF and OWL are interchangeable.

What does OWL allow you to specify that RDF does not?

A. Cardinalities of object relations

B. Logical operators in definitions

C. Data type properties (attributes)

What is the difference between an ontology and a knowledge graph?

Ontologies provide the structure, while knowledge graphs organize and represent actual data using that structure.

An ontology focuses on structured data, while a knowledge graph focuses on unstructured data.

An ontology is a visual representation, while a knowledge graph is a textual representation.

An ontology is used for data storage, while a knowledge graph is used for data processing.

How do expert systems provide decision support?

By offering transparency and explanation

By automating decision-making processes

By replacing human decision-makers

How can expert systems be utilized to enhance capabilities in smart environments?

By integrating with other technologies

By focusing solely on risk management

By avoiding real-time decision-making

By limiting their scope to specific industries

What is the main purpose of a Decision Support System (DSS)?

To analyze massive amounts of data

To manage financial transactions

How do Executive Information Systems (EIS) assist senior executives in decision-making?

By providing easy access to important data

By featuring graphical displays

By monitoring enterprise performance

ESKE Quiz

Authored by Zailan Arabee Abdul Salam

Computers

12th Grade

Used 2+ times

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29 questions

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MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of an Expert System?

To replace human experts

To create wisdom

To help experts solve problems

To slow down decision making

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main limitation of Expert Systems?

They are not reliable

They perfectly mimic human experts

They can learn from mistakes

They may stifle creativity

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two main strategies used by the Inference Engine in Expert Systems?

Decision Trees and Support Vector Machines

Pattern Matching and Neural Networks

Random Guessing and Trial-and-Error

Forward Chaining and Backward Chaining

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of Knowledge Representation in Expert Systems?

To show data

To make human knowledge machine-readable

To represent wisdom

To make the system faster

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the process of knowledge engineering?

Building physical structures

Performing medical surgeries

Eliciting and structuring information

Programming in different languages

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using Turtle notation?

To represent data in a structured format

To create hierarchical data

To draw pictures of turtles

To establish a communication protocol

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the key feature of CommonKADS theory?

Focusing on programming details

Avoiding human input

Concentrating on the conceptual structure of knowledge

Ignoring the structure of knowledge

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ESKE Quiz

What is the purpose of an Expert System?

What is the main limitation of Expert Systems?

What are the two main strategies used by the Inference Engine in Expert Systems?

What is the purpose of Knowledge Representation in Expert Systems?

What is the process of knowledge engineering?

What is the purpose of using Turtle notation?

What is the key feature of CommonKADS theory?

How are literals with language represented in Turtle notation?

What is the primary goal of using Semantic Networks in AI?

Which programming languages are commonly used for developing Expert Systems?

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