Encyclopedia of Big Data Technologies

2019 Edition
| Editors: Sherif Sakr, Albert Y. Zomaya

Data Fusion

  • Jesús GarciaEmail author
  • José Manuel Molina
  • Antonio Berlanga
  • Miguel Angel Patricio
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-77525-8_5

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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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Jesús Garcia
    • 1
    • 2
    Email author
  • José Manuel Molina
    • 1
    • 2
  • Antonio Berlanga
    • 1
    • 2
  • Miguel Angel Patricio
    • 1
    • 2
  1. 1.Applied Artificial Intelligence GroupUniversidad Carlos III de MadridColmenarejoSpain
  2. 2.Computer Science and EngineeringUniversidad Carlos III de MadridColmenarejoSpain

Section editors and affiliations

  • Maik Thiele
    • 1
  1. 1.Database Systems GroupTechnische Universität DresdenDresdenDeutschland