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Data Contextualization

Context or contextual information is any information about any entity that can be used to effectively reduce the amount of reasoning required (via filtering, aggregation, and inference) for decision making within the scope of a specific application. Contextualization is then the process of identifying the data relevant to an entity based on the entity's contextual information. Contextualization excludes irrelevant data from consideration and has the potential to reduce data from several aspects including volume, velocity, and variety in large-scale data intensive applications


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