Introduction and Key Concepts of Information Fusion: Data, Models, and Context
Information fusion (IF) is a multi-domain-growing field aiming to provide data processes for situation understanding (Liggins et al. 2008). Globally, fusion systems aim to integrate sensor data and information/knowledge databases, contextual information, mission goals, etc., to describe dynamically changing situations. In a sense, the goal of information fusion is to obtain continuous refinements of estimates and assessments of a subset of the world based on partial observations and the evaluation of the need for additional sources or modification of the process itself, to achieve improved results.
The capability to fuse digital data and generate useful information is conditioned by the quality of inputs, whether device-derived or text-based. Data are generated in different formats, some of them unstructured and may be inaccurate, incomplete, ambiguous, or contradictory. The key aspect in modern DF...
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Garcia, J., Molina, J.M., Berlanga, A., Patricio, M.A. (2019). Data Fusion. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_5
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