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identifying the data relevant to an entity based on the entity's contextual information. Contextualisation 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 (Yavari et al.).
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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. Contextualisation is then the process of
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Reduce the amount of data: Contextualisation has the potential to reduce the amount of data based on the interests from applications/services/users. Contextualisation can improve the scalability and efficiency of data process, query, delivery by excluding irrelevant
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Yavari, Ali; Jayaraman, Prem
Prakash; Georgakopoulos, Dimitrios; Nepal, Surya (2017). "ConTaaS: An Approach to Internet-Scale Contextualisation for Developing Efficient Internet of Things Applications".
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Yavari, Ali; Jayaraman, Prem
Prakash; Georgakopoulos, Dimitrios (2016). "Contextualised service delivery in the Internet of Things: Parking recommender for smart cities".
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As an example, ConTaaS facilitates contextualisation of the data for IoT applications and could improve the processing for large-scale IoT applications from various
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is the process of identifying the data relevant to an entity (e.g., a person or a city) based on the entity's contextual information.
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instantiation, to set or override VM data having unknown or default values at the time of creation of the
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The main usage of "contextualisation" is in improving the process of data:
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