Abstract
Due to advances in sensor technology, sensors are becoming more powerful, cheaper and smaller. This evolution generates big amounts of data, which may have no value unless we have the ability of analyzing, interpreting and understanding it. Context-awareness computing (collection, modeling, metamodeling, reasoning and distribution of context) plays a significant role in this challenge. This paper tries to contribute by analyzing, comparing and consolidating works in this sense especially in context modeling and metamodeling.
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Aarab, Z., Saidi, R., Rahmani, M.D. (2016). Context Modeling and Metamodeling: A State of the Art. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-319-30298-0_30
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DOI: https://doi.org/10.1007/978-3-319-30298-0_30
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