adplus-dvertising

Welcome to the Management of Big Semantic Data MCQs Page

Dive deep into the fascinating world of Management of Big Semantic Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Management of Big Semantic Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Management of Big Semantic Data, 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 Big Data Computing.

frame-decoration

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

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

Management of Big Semantic Data MCQs | Page 12 of 15

Explore more Topics under Big Data Computing

Q111.
What is the purpose of the Triples component in HDT?

a.

To encode metadata about RDF data sets

b.

To compactly encode RDF triples as tuples of three IDs

c.

To perform SPARQL query execution

d.

To organize RDF dictionaries for efficient retrieval

Discuss
Answer: (b).To compactly encode RDF triples as tuples of three IDs Explanation:The purpose of the Triples component in HDT is to compactly encode RDF triples as tuples of three IDs, referring to corresponding terms in the Dictionary.
Q112.
How does HDT's Triples encoding (BitmapTriples or BT) organize the RDF graph internally?

a.

It transforms the graph into a forest with one tree for each subject and orders the trees by subject ID.

b.

It transforms the graph into a forest with one tree for each predicate and orders the trees by predicate ID.

c.

It sorts all triples based on their object values.

d.

It stores triples in a random order to maximize compression.

Discuss
Answer: (a).It transforms the graph into a forest with one tree for each subject and orders the trees by subject ID. Explanation:HDT's Triples encoding (BitmapTriples or BT) transforms the RDF graph into a forest with one tree for each subject and orders the trees by subject ID.
Q113.
What does BT (BitmapTriples) encoding in HDT assume about the order of triples?

a.

Triples must be sorted in the subject–predicate–object (SPO) order.

b.

Triples must be sorted in the predicate–object–subject (POS) order.

c.

Triples can be in any random order.

d.

Triples must be sorted based on their predicate values.

Discuss
Answer: (a).Triples must be sorted in the subject–predicate–object (SPO) order. Explanation:BT (BitmapTriples) encoding in HDT assumes that triples must be sorted in the subject–predicate–object (SPO) order.
Q114.
In HDT's BT encoding, what does each tree in the forest represent?

a.

Each tree represents a different RDF dataset.

b.

Each tree represents all triples related to a specific predicate.

c.

Each tree represents all triples rooted by a subject with a specific ID.

d.

Each tree represents all triples with the same object value.

Discuss
Answer: (c).Each tree represents all triples rooted by a subject with a specific ID. Explanation:In HDT's BT encoding, each tree in the forest represents all triples rooted by a subject with a specific ID.
Q115.
How are predicate and object levels organized in HDT's BT encoding?

a.

They are organized randomly to maximize compression.

b.

They are sorted based on their subject values.

c.

They are sorted independently and separately from the subject level.

d.

They are organized based on their predicate values.

Discuss
Answer: (c).They are sorted independently and separately from the subject level. Explanation:In HDT's BT encoding, predicate and object levels are sorted independently and separately from the subject level.
Q116.
In HDT's BT encoding, how are predicates sorted within each tree?

a.

Predicates are sorted in a decreasing order.

b.

Predicates are organized randomly.

c.

Predicates are sorted in an increasing way.

d.

Predicates are not sorted within the trees.

Discuss
Answer: (c).Predicates are sorted in an increasing way. Explanation:In HDT's BT encoding, predicates are sorted in an increasing way within each tree.
Q117.
How are objects organized within each path in the BT encoding of HDT?

a.

Objects are sorted randomly.

b.

Objects are sorted based on their subject values.

c.

Objects are sorted within each path in an increasing order.

d.

Objects are not organized within the paths.

Discuss
Answer: (c).Objects are sorted within each path in an increasing order. Explanation:In the BT encoding of HDT, objects are sorted within each path in an increasing order.
Q118.
What does BT encoding in HDT represent pairs of?

a.

Subject and predicate

b.

Predicate and object

c.

Subject and object

d.

Object and tree

Discuss
Answer: (b).Predicate and object Explanation:BT encoding in HDT represents pairs of predicate and object.
Q119.
What is the advantage of sorting predicates within each tree in BT encoding?

a.

It allows efficient searching within predicate lists.

b.

It reduces the overall size of the encoded data.

c.

It simplifies the encoding process.

d.

It enables efficient searching within object lists.

Discuss
Answer: (a).It allows efficient searching within predicate lists. Explanation:Sorting predicates within each tree in BT encoding allows efficient searching within predicate lists.
Q120.
How is the subject encoded in HDT's BT encoding?

a.

It is explicitly encoded for each triple.

b.

It is implicitly encoded given the tree sorting.

c.

It is encoded as a separate dictionary.

d.

It is not encoded in the BT encoding.

Discuss
Answer: (b).It is implicitly encoded given the tree sorting. Explanation:In HDT's BT encoding, the subject is implicitly encoded given the tree sorting, and it is not explicitly encoded for each triple.
Page 12 of 15

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Artificial Intelligence

Get started on the path to the future with our Artificial Intelligence MCQs. Covering...

Cyber Security

Understand the fundamentals of safeguarding digital assets with our Cyber Security...

Digital Communication

Master the basics of electronic communication with our Digital Communication MCQs....

Data Structures and Algorithms

Journey through the fundamentals of Data Structures and Algorithms with our extensive...

Reverse Engineering

Strengthen your understanding of Reverse Engineering with our curated set of MCQs....

Java Spring Framework

Enhance your Java development skills with our Spring Framework MCQs. Learn about...

Neural Networks

Dive into the world of Artificial Intelligence with our Neural Networks MCQs. Uncover...

JavaScript

Strengthen your web development skills with our JavaScript MCQs. Understand core...

Compiler Design

Unravel the process of translating source code into executable programs with our...