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

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.
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.
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.
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.
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.
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.
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?
Discuss
Answer: (b).Predicate and object Explanation:BT encoding in HDT represents pairs of predicate and object.
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.
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.

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!