Q. What is the purpose of sliding time windows in stream-based query answering?

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Q. What are temporal aggregation operators used for in stream-based query languages?

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Q. What are some extensions to the RDF query language SPARQL that have been proposed for stream-based access scenarios?

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Q. In the context of stream-based query answering, what does C-SPARQL rely on for dealing with entailments for RDFS or OWL 2 RL?

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Q. What is SNEEQL?

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Q. What is EP-SPARQL tailored for?

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Q. What is CQELS known for in the context of stream-based query implementations?

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Q. How does T-SPARQL apply techniques from temporal databases to RDF querying?

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Q. What combination of querying approaches is considered useful in applications?

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Q. What was a design goal in early work on deductive event recognition?

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Q. Why are brute-force approaches for query answering with respect to ontologies not suitable for large real-world ontologies?

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Q. What is one promising idea for scalable stream-based answering of continuous queries?

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Q. What was the traditional assumption made by OBDA approaches regarding query execution?

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Q. Why is the assumption of centralized query execution not usually applicable in the real world for OBDA?

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Q. What is FedX in context of query execution ?

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Q. What is one of the important advantages of cloud computing, especially IaaS, PaaS, and SaaS clouds?

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Q. Which computing paradigm is the most popular for Big Data processing?

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Q. What is the main advantage of elastic query execution?

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Q. What is the Athena Distributed Processing (ADP) system?

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Q. What kind of queries are expressed in the data flow language used by ADP?

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