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- W2024393693 abstract "Cloud-based systems have proven to be a powerful technology for building data-intensive applications. However, the process of designing and deploying such applications is still primarily a manual one. There is a need for mechanisms and tools to help automate the required development steps. Using the Semantic Web ontology language OWL and the Hadoop platform we have developed a number of models and associated software tools that provide an end-to-end solution for designing and deploying cloud-based systems. This solution supports the construction of detailed models of data dependencies and their validation. It also enables generation and deployment of cloud-based data flows from those models. We illustrate its use for detecting alarm scenarios using data from vast underwater sensor-network." @default.
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- W2024393693 date "2010-07-01" @default.
- W2024393693 modified "2023-10-14" @default.
- W2024393693 title "DataStorm An Ontology-Driven Framework for Cloud-Based Data Analytic Systems" @default.
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- W2024393693 doi "https://doi.org/10.1109/services.2010.92" @default.
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