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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.

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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.

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Management of Big Semantic Data MCQs | Page 6 of 15

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Q51.
What concept was coined to emphasize the common citizen's involvement in the creation of web content?

a.

Web 1.0

b.

Web 2.0

c.

Web 3.0

d.

Web 4.0

Discuss
Answer: (b).Web 2.0 Explanation:The concept coined to emphasize the common citizen's involvement in the creation of web content is "Web 2.0."
Q52.
How does the Web of Data differ from the concept of Web 2.0?

a.

Web of Data focuses on content creation, while Web 2.0 focuses on data representation.

b.

Web of Data addresses data set problems, while Web 2.0 emphasizes sociability.

c.

Web of Data uses machine-readable descriptions, while Web 2.0 uses human-readable content.

d.

Web of Data is limited to the scientific community, while Web 2.0 is for the general market.

Discuss
Answer: (b).Web of Data addresses data set problems, while Web 2.0 emphasizes sociability. Explanation:The Web of Data addresses data set problems, such as data representation and linkage, while Web 2.0 emphasizes sociability and user-generated content.
Q53.
What is one feasible method for common users to create semantic data?

a.

Using RDFa

b.

Creating custom RDF vocabularies

c.

Writing SPARQL queries

d.

Designing ontology schemas

Discuss
Answer: (a).Using RDFa Explanation:One feasible method for common users to create semantic data is by using RDFa.
Q54.
What are the three main roles in the context of Big Semantic Data stakeholders?

a.

Developers, administrators, and consumers

b.

Creators, publishers, and consumers

c.

Producers, analysts, and researchers

d.

Regulators, supervisors, and auditors

Discuss
Answer: (b).Creators, publishers, and consumers Explanation:The three main roles in the context of Big Semantic Data stakeholders are creators, publishers, and consumers.
Q55.
What is the role of a "Creator" in the context of Big Semantic Data?

a.

Generating new RDF data sets from scratch

b.

Ensuring data availability and querying services

c.

Validating shared entities in existing data

d.

Managing the publication process

Discuss
Answer: (a).Generating new RDF data sets from scratch Explanation:In the context of Big Semantic Data, a "Creator" is responsible for generating new RDF data sets from scratch.
Q56.
What is the main responsibility of a "Publisher" in the context of Big Semantic Data?

a.

Creating RDF data sets from scratch

b.

Validating shared entities in existing data

c.

Ensuring data availability and querying services

d.

Performing data integration from various sources

Discuss
Answer: (c).Ensuring data availability and querying services Explanation:In the context of Big Semantic Data, the main responsibility of a "Publisher" is to ensure data availability and querying services for the publicly available RDF data.
Q57.
How does the role of a "Publisher" differ from that of a "Creator"?

a.

Publishers create RDF data sets, while Creators ensure data availability.

b.

Creators validate shared entities, while Publishers focus on data integration.

c.

Creators generate new RDF data sets, while Publishers make RDF data publicly available.

d.

Publishers and Creators have identical roles in the context of Big Semantic Data.

Discuss
Answer: (c).Creators generate new RDF data sets, while Publishers make RDF data publicly available. Explanation:The role of a "Creator" involves generating new RDF data sets, while the role of a "Publisher" involves making RDF data publicly available, and they can differ in their responsibilities and tasks.
Q58.
What principles are publishers expected to follow in the context of Big Semantic Data?

a.

Semantic Web principles

b.

Relational database principles

c.

Linked Data principles

d.

Ontology alignment principles

Discuss
Answer: (c).Linked Data principles Explanation:Publishers in the context of Big Semantic Data are expected to follow the Linked Data principles.
Q59.
What is the main distinction between "Direct consumption" and "Intensive consumer processing" in the context of consumers of RDF data?

a.

Direct consumption involves offline analysis, while intensive consumer processing focuses on online querying.

b.

Direct consumption requires nonnegligible consumer computation, while intensive consumer processing relies on the publisher.

c.

Direct consumption involves intensive processing at the consumer, while intensive consumer processing requires nonnegligible publisher computation.

d.

Direct consumption mainly involves the publisher, while intensive consumer processing involves nonnegligible consumer computation.

Discuss
Answer: (d).Direct consumption mainly involves the publisher, while intensive consumer processing involves nonnegligible consumer computation. Explanation:The main distinction between "Direct consumption" and "Intensive consumer processing" is that direct consumption mainly involves the publisher, while intensive consumer processing involves nonnegligible consumer computation.
Q60.
What is the role of "Composition of data" processes in the context of consumers of RDF data?

a.

Integrating different data sources or services

b.

Offline analysis and data mining

c.

Direct consumption of RDF data

d.

Semantic tagging and folksonomies

Discuss
Answer: (a).Integrating different data sources or services Explanation:The role of "Composition of data" processes in the context of consumers of RDF data is to integrate different data sources or services.
Page 6 of 15

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