Welcome to the Semantic Web MCQs Page

Dive deep into the fascinating world of Semantic Web with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Semantic Web, a crucial aspect of Web Technologies. In this section, you will encounter a diverse range of MCQs that cover various aspects of Semantic Web, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Web Technologies.

Check out the MCQs below to embark on an enriching journey through Semantic Web. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Web Technologies.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Semantic Web. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Semantic Web MCQs | Page 25 of 53

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Q241.

Acronym for NLOs is

Narrative language Ontologies

Natural language Ontologies

National language Ontologies

Non-generic language Ontologies

Discuss

Answer: (b).Natural language Ontologies

Q242.

An approach to handle ontology mapping based on techniques that exploit linguistic labels is called

Statistical Methods

Linguistic methods

Logical Methods

Structural Methods

Discuss

Answer: (b).Linguistic methods

Q243.

Ontology engineering is a

static process

linear process

recursive process

non-linear process

Discuss

Answer: (d).non-linear process

Q244.

To handle with knowledge acquisition problem, Semantic Web have been proposed to use

formalization techniques

mathematical techniques

machine learning techniques

programming techniques

Discuss

Answer: (c).machine learning techniques

Q245.

A machine learning technique for making groups based on similarity is called

Bayesian learning

First-order logic rules learning

clustering

Propositional rule learning

Discuss

Answer: (c).clustering

Q246.

Most generic ontologies that are not domain specific is called

lower-level ontologies

general ontologies

famous ontologies

Upper-level ontologies

Discuss

Answer: (d).Upper-level ontologies

Q247.

A probabilistic learning mechanism based on Bayes theorem is called

First-order logic rules learning

Bayesian learning

clustering

Propositional rule learning

Discuss

Answer: (b).Bayesian learning

Q248.

ULAN is used in

geographical domain

medical domain

cultural domain

computer domain

Discuss

Answer: (a).geographical domain

Q249.

An approach to handle ontology mapping based on techniques that exploit graph structure of source and destination element is called

Linguistic methods

Logical Methods

Structural Methods

Statistical Methods

Discuss

Answer: (c).Structural Methods

Q250.

An approach to handle ontology mapping based on techniques that exploit formalization of both source and destination structure is called

Structural Methods

Statistical Methods

Linguistic methods

Logical Methods

Discuss

Answer: (d).Logical Methods

Page 25 of 53

Welcome to the Semantic Web MCQs Page

Semantic Web MCQs | Page 25 of 53

Explore more Topics under Web Technologies

Web Appplications Basics

HTML and CSS

XML

AJAX

Javascript

ASP NET

Internet and Protocols

Common Gateway Interface

HTTP

Java Server Pages

VB NET

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