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Welcome to the Semantic Data Interoperability MCQs Page

Dive deep into the fascinating world of Semantic Data Interoperability with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Semantic Data Interoperability, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Semantic Data Interoperability, 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 Semantic Data Interoperability. 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 Semantic Data Interoperability. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Semantic Data Interoperability MCQs | Page 8 of 9

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Q71.
Which pattern combines elements of developed ontologies to explicitly state semantics of data entity attributes more precisely?

a.

Pattern 1—URIdtp

b.

Pattern 2—URIc URIdtp

c.

Pattern 3—URIop URIc URIdtp

d.

Pattern 4—URIc URIop URIdtp

Discuss
Answer: (b).Pattern 2—URIc URIdtp Explanation:Pattern 2—URIc URIdtp combines elements of developed ontologies to explicitly state semantics of data entity attributes more precisely.
Q72.
When is Pattern 2—URIc URIdtp applied for semantic annotations?

a.

When there is a need for richer patterns

b.

When the data attributes are domain-specific

c.

When the number of ontologies is relatively small

d.

When property clumps are resolved under specific classes

Discuss
Answer: (c).When the number of ontologies is relatively small Explanation:Pattern 2—URIc URIdtp is applied for semantic annotations when the number of ontologies is relatively small.
Q73.
Which semantic description pattern is suitable for annotating data attributes that are not scoped to a particular subject type?

a.

Pattern 1—URIdtp

b.

Pattern 2—URIc URIdtp

c.

Pattern 3—URIop URIc URIdtp

d.

Pattern 4—URIc URIop URIdtp

Discuss
Answer: (c).Pattern 3—URIop URIc URIdtp Explanation:Pattern 3—URIop URIc URIdtp is suitable for annotating data attributes that are not scoped to a particular subject type.
Q74.
Which pattern is used to describe relations between subjects and relevant data objects when dealing with ontologies of higher modularity?

a.

Pattern 1—URIdtp

b.

Pattern 2—URIc URIdtp

c.

Pattern 3—URIop URIc URIdtp

d.

Pattern 4—URIc URIop URIc URIdtp

Discuss
Answer: (d).Pattern 4—URIc URIop URIc URIdtp Explanation:Pattern 4—URIc URIop URIc URIdtp is used to describe relations between subjects and relevant data objects when dealing with ontologies of higher modularity.
Q75.
What tendency do people without proper training in knowledge engineering often exhibit in semantic annotations?

a.

Mixing the meanings/intentions of datatype properties and classes

b.

Overusing pattern 4

c.

Using only pattern 1 for annotations

d.

Confusing object properties with data-type properties

Discuss
Answer: (a).Mixing the meanings/intentions of datatype properties and classes Explanation:People without proper training in knowledge engineering often tend to mix the meanings/intentions of datatype properties and classes in semantic annotations.
Q76.
Why is it encouraged to design data models and interfaces to keep semantic descriptions simple?

a.

To encourage the use of pattern 4 in annotations

b.

To maintain complete semantic descriptions

c.

To avoid confusion between classes and object properties

d.

To prevent extending domain ontologies with encoding details

Discuss
Answer: (d).To prevent extending domain ontologies with encoding details Explanation:It is encouraged to design data models and interfaces to keep semantic descriptions simple to prevent extending domain ontologies with encoding details.
Q77.
What is the main intuition behind using semantic annotations for redundancy detection in information system interfaces?

a.

To identify naming conventions used in interfaces

b.

To improve data management in interfaces

c.

To visualize entity attributes in interfaces

d.

To detect overlaps in entity attributes across different information systems

Discuss
Answer: (d).To detect overlaps in entity attributes across different information systems Explanation:The main intuition behind using semantic annotations for redundancy detection in information system interfaces is to detect overlaps in entity attributes across different information systems.
Q78.
What is one of the major benefits of using automated Web services composition?

a.

Reducing IT management costs

b.

Increasing network bottlenecks

c.

Limiting the use of complex components

d.

Decreasing performance of computations

Discuss
Answer: (a).Reducing IT management costs Explanation:One of the major benefits of using automated Web services composition is that complex components can be managed by different organizations and still used collectively, allowing for sharing the IT management costs.
Q79.
What is the purpose of using ontologies in linked data applications?

a.

To provide a view of the data

b.

To increase data volume

c.

To store data records

d.

To enforce data security

Discuss
Answer: (a).To provide a view of the data Explanation:Ontologies in linked data applications provide a view of the data and impose domain-specific constraints and rules for automated inference.
Q80.
Which technology is used to store and expose the linked data from the Register of Buildings in Estonia?

a.

SPARQL

b.

JSON

c.

RDF

d.

SERQL

Discuss
Answer: (a).SPARQL Explanation:OpenLink Virtuoso Open Source Edition is used to store and expose the linked data from the Register of Buildings in Estonia through its SPARQL endpoint.
Page 8 of 9

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