Q. Why is accessing data by predicate considered challenging in HDT-FoQ?

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Q. How is efficient access by predicate achieved in HDT-FoQ?

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Q. What is the advantage of using a wavelet tree for predicate access in HDT-FoQ?

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Q. How does HDT-FoQ handle access by predicate efficiently?

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Q. In HDT-FoQ, what is the practical benefit of using a wavelet tree for predicate access?

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Q. Why is accessing data by object challenging in HDT-FoQ?

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Q. How does HDT-FoQ address the challenge of accessing data by object?

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Q. What is the role of the O-Index in HDT-FoQ?

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Q. How does the O-Index affect the overall requirements of HDT-FoQ?

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Q. What type of queries are efficiently resolved by HDT-FoQ's infrastructure?

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Q. Which concept naturally emerges in the context of Big Data and machine-processable semantics on the WWW?

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Q. What is the common workflow that exists in most applications in the Web of Data?

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Q. What is HDT-FoQ designed for?

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Q. What is one of the benefits of using HDT instead of traditional approaches for data consumption?

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Q. What supporting tool can be set up on top of an HDT file for publishers?

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Q. What does HDT-FoQ excel at in the publish-exchange-consumption workflow?

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Q. What is the potential benefit of configuring a dereferenceable URI materialization from an HDT?

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