Q. What is a common practice to reduce exchange costs and delays when dealing with plain RDF serialization formats?

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Q. What role does the serialization format play in the performance of RDF consumption?

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Q. What is the main actor for efficient consumption of RDF data sets for both publishers and consumers?

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Q. Which approach groups triples by predicates and stores them in independent 2-column tables (S,O)?

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Q. What do RDF stores like Hexastore and RDF-3X build indices for?

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Q. What are the main requirements for an RDF serialization format of Big Semantic Data?

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Q. Why is reducing the size of the RDF dump important for big semantic data sets?

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Q. What is the advantage of having the data pre-sorted in the serialization format?

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Q. What does the requirement that the serialization format should be able to locate pieces of data within the whole data set mean?

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Q. Which aspect of the RDF serialization format has the most significant impact on transmission costs and latency for consumption?

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Q. What is one of the main concerns for performance in most consumption scenarios of RDF data?

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Q. How can data sets be made space-efficient in RDF serialization?

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Q. Which factor influences performance for both publishers and consumers in RDF data exchange?

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Q. What does HDT stand for in the context of encoding Big Semantic Data?

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Q. What is the primary purpose of the Header component in HDT-encoded data sets?

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Q. What type of information is typically included in the Publication Metadata section of the Header component?

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Q. Why is the Format Metadata section important in the Header component of HDT-encoded data sets?

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Q. What is the purpose of the Additional Metadata section in the Header component of HDT-encoded data sets?

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Q. Which component of HDT holds metadata about the publication act, publisher, and associated SPARQL endpoint?

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Q. What type of information is typically included in the Statistical Metadata section of the Header component?

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