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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 4 of 15

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Discuss
Answer: (d).To define the patterns to be matched in the RDF graph Explanation:The main purpose of the body in an SPARQL query is to define the patterns to be matched in the RDF graph.
Q32.
Which part of an SPARQL query allows modifying the values of variables in the output?
Discuss
Answer: (a).Solution modifiers Explanation:Solution modifiers in an SPARQL query allow modifying the values of variables in the output.
Q33.
What is the output of an SPARQL query called when it constructs new RDF data from the matched values?
Discuss
Answer: (c).Description of resources Explanation:The output of an SPARQL query, when it constructs new RDF data from the matched values, is called a description of resources.
Q34.
What is the main limitation of the document-oriented model of the World Wide Web (WWW) when it comes to data accessibility for machines and automatic agents?
Discuss
Answer: (b).Lack of identity for data Explanation:The main limitation of the document-oriented model of the WWW is the lack of identity for data, which prevents machines and automatic agents from directly accessing the raw data underlying web page content.
Discuss
Answer: (c).To enhance the WWW by converting raw data into first-class citizens Explanation:The primary goal of the Web of Data (Linked Data) is to enhance the WWW by converting raw data into first-class citizens, enabling data and documents to coexist in a common space.
Discuss
Answer: (c).Meaningful interlinking of data Explanation:One of the main challenges of the Web of Data is the meaningful interlinking of data, which involves connecting related data that wasn't previously linked using standard practices.
Discuss
Answer: (b).Use URIs as names for things Explanation:The first rule of Linked Data is to use URIs as names for things, which ensures that every possible real-world entity or its relationships can be identified at a universal scale.
Discuss
Answer: (c).To enable easy data retrieval and lookup Explanation:Using HTTP URIs in Linked Data allows people to look up those names and retrieve data related to a given URI using the HTTP protocol.
Q39.
Which standards are mainly used in the Web of Data for processes and languages?
Discuss
Answer: (b).RDF and SPARQL Explanation:In the Web of Data, RDF (Resource Description Framework) and SPARQL are mainly used as standards for processes and languages to enable data integration and querying.
Q40.
What enables data integration in the Web of Data by adding new RDF triples that link data from different data sets?
Discuss
Answer: (d).Inter-data set linkage Explanation:Inter-data set linkage, which involves adding new RDF triples to link data from different data sets, enables data integration in the Web of Data.

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