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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Q. What is one of the key features of ADP?

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Q. What is the role of ARM in the ADP system?

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Q. What is the purpose of containers in the ADP system?

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Q. Which services have been developed on top of ADP that are useful for the OBDA paradigm?

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Q. How will ADP be extended to maximize its impact on the OBDA Big Data paradigm?

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Q. What is a major bottleneck in data-intensive industries when it comes to giving end-users flexible access to large corporate data stores?

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Q. How can OBDA (Ontology-Based Data Access) help overcome the bottleneck in providing flexible access to large corporate data stores?

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Q. What is the FP7 Integrating Project Optique focused on?

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Q. What is the key benefit of using OBDA in providing flexible access to corporate data stores?

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