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Quality, Context, and Information Fusion

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Book cover Information Quality in Information Fusion and Decision Making

Part of the book series: Information Fusion and Data Science ((IFDS))

Abstract

Context has received significant attention in recent years within the information fusion community as it can bring several advantages to fusion processes by allowing for refining estimates, explaining observations, constraining computations, and thereby improving the quality of inferences. At the same time, context utilization involves concerns about the quality of the contextual information and its relationship with the quality of information obtained from observations and estimations that may be of low fidelity, contradictory, or redundant. Knowledge of the quality of this information and its effect on the quality of context characterization can improve contextual knowledge. At the same time, knowledge about a current context can improve the quality of observations and fusion results. This chapter discusses the issues associated with context exploitation in information fusion, understanding and evaluating information quality in context and formal context representation, as well as the interrelationships among context, context quality, and quality of information. The chapter also presents examples of utilization of context and information quality in fusion applications.

This chapter is an extended and revised version of [1].

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Notes

  1. 1.

    While we recognize the difference between data and information, we will generally use these terms interchangeably throughout this chapter.

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Authors and Affiliations

  1. The State University of New York at Buffalo, Buffalo, NY, USA

    Galina L. Rogova

  2. Department of Mathematics, Computer Science, and Physics, University of Udine, Udine, Italy

    Lauro Snidaro

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  1. Galina L. Rogova
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  2. Lauro Snidaro
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Correspondence to Galina L. Rogova .

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Editors and Affiliations

  1. IMT-Atlantique, Brest, France

    Éloi Bossé

  2. The State University of New York at Buffalo, Buffalo, NY, USA

    Galina L. Rogova

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Rogova, G.L., Snidaro, L. (2019). Quality, Context, and Information Fusion. In: Bossé, É., Rogova, G. (eds) Information Quality in Information Fusion and Decision Making. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-03643-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-03643-0_11

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