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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.

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 5 of 15

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Q41.
What is the main benefit of Linked Data for data integration and querying, as described by Tim Berners-Lee?

a.

Centralized data management

b.

Simplicity of data encoding

c.

Enhanced data security

d.

Connection of different data sets for new questions

Discuss
Answer: (d).Connection of different data sets for new questions Explanation:Linked Data allows different things in different data sets to be connected, enabling the querying of data in combination with other data, leading to the ability to ask new questions.
Q42.
How does Linked Data differ from centralized data systems?

a.

Linked Data requires a centralized system for data management.

b.

Linked Data is based on a hierarchical data structure.

c.

Linked Data is decentralized, allowing each agency to source its own data.

d.

Linked Data relies on a single global data repository.

Discuss
Answer: (c).Linked Data is decentralized, allowing each agency to source its own data. Explanation:Linked Data is decentralized, allowing each agency to source its own data without the need for a centralized system.
Q43.
What does Tim Berners-Lee's "five-star" test measure in the context of Linked Open Data (LOD)?

a.

Data quality

b.

Data quantity

c.

Data accessibility

d.

Implementation of Linked Data principles

Discuss
Answer: (d).Implementation of Linked Data principles Explanation:Tim Berners-Lee's "five-star" test measures the implementation of Linked Data principles in the context of Linked Open Data (LOD).
Q44.
What is the significance of the LOD cloud in the context of Linked Open Data (LOD)?

a.

It represents a closed environment for LOD applications.

b.

It signifies the adoption of LOD principles in private institutional networks.

c.

It is a growing collection of open and linked data sets.

d.

It refers to a standardized data format used in LOD.

Discuss
Answer: (c).It is a growing collection of open and linked data sets. Explanation:The LOD cloud is a growing collection of open and linked data sets that adhere to Linked Open Data (LOD) principles.
Q45.
Which data set is considered the nucleus for the LOD cloud and gathers raw data underlying Wikipedia web pages?

a.

DBpedia

b.

Government data

c.

Geography data

d.

Life sciences data

Discuss
Answer: (a).DBpedia Explanation:DBpedia is considered the nucleus for the LOD cloud and gathers raw data underlying Wikipedia web pages, following the Linked Data rules.
Q46.
What distinguishes the scalability problems of data scientists from those of common users when dealing with Big Semantic Data?

a.

Data scientists use distributed machines, while common users do not.

b.

Data scientists have faster internet connections than common users.

c.

Data scientists can perform graph closures, while common users expect reasonable response times.

d.

Data scientists rely on external data sources, while common users create their own data.

Discuss
Answer: (c).Data scientists can perform graph closures, while common users expect reasonable response times. Explanation:Data scientists can perform complex and time-consuming tasks like graph closures, while common users expect reasonable response times when querying Big Semantic Data.
Q47.
Why is it beneficial to establish links between diverse data in fields like life sciences?

a.

To increase data complexity

b.

To make data management easier

c.

To enable data compression

d.

To facilitate cross-referencing and research

Discuss
Answer: (d).To facilitate cross-referencing and research Explanation:Establishing links between diverse data in fields like life sciences is beneficial because it facilitates cross-referencing and research, allowing researchers to access previous findings related to the data they are studying.
Q48.
What is the primary goal of establishing a common data workflow and characterizing stakeholders in Big Semantic Data?

a.

To restrict access to data

b.

To focus efforts on specific data areas

c.

To centralize data management

d.

To promote closed data systems

Discuss
Answer: (b).To focus efforts on specific data areas Explanation:The primary goal of establishing a common data workflow and characterizing stakeholders in Big Semantic Data is to focus efforts on specific data areas, allowing researchers and practitioners to better understand and address specific management problems.
Q49.
In the context of Big Semantic Data, what does the term "Web of Data" refer to?

a.

A closed network of interconnected data sources

b.

An exclusive data sharing platform

c.

A global infrastructure for open and linked data

d.

A specialized database management system

Discuss
Answer: (c).A global infrastructure for open and linked data Explanation:In the context of Big Semantic Data, the term "Web of Data" refers to a global infrastructure for open and linked data, where data from diverse sources can be interconnected and accessed.
Q50.
What is the significance of establishing a common data representation and publication infrastructure for Big Semantic Data?

a.

It restricts access to data experts only.

b.

It simplifies data management for common users.

c.

It allows data scientists to create novel data.

d.

It leverages the full potential of Big Semantic Data.

Discuss
Answer: (d).It leverages the full potential of Big Semantic Data. Explanation:Establishing a common data representation and publication infrastructure for Big Semantic Data leverages the full potential of Big Semantic Data by providing an open and interconnected environment for data sharing and integration.
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