Context-Enhanced Information Fusion

1. Front Matter

   Pages i-xviii

   PDF

2. Foundations

   1. Front Matter

      Pages 1-1

      PDF

   2. Context and Fusion: Definitions, Terminology

      • James Llinas, Lauro Snidaro, Jesús García, Erik Blasch

      Pages 3-23

3. Concepts of Context for Fusion

   1. Front Matter

      Pages 25-25

      PDF

   2. Formalization of “Context” for Information Fusion

      • Galina L. Rogova, Alan N. Steinberg

      Pages 27-43

   3. Context as an Uncertain Source

      • James Llinas, Anne-Laure Jousselme, Geoff Gross

      Pages 45-72

   4. Contextual Tracking Approaches in Information Fusion

      • Erik Blasch, Chun Yang, Jesús García, Lauro Snidaro, James Llinas

      Pages 73-97

   5. Context Assumptions for Threat Assessment Systems

      • Steven A. Israel, Erik Blasch

      Pages 99-124

   6. Context-Aware Knowledge Fusion for Decision Support

      • Alexander Smirnov, Tatiana Levashova, Nikolay Shilov

      Pages 125-154

4. Systems Philosophy of Contextual Fusion

   1. Front Matter

      Pages 155-155

      PDF

   2. System-Level Use of Contextual Information

      • Alan N. Steinberg, Galina L. Rogova

      Pages 157-183

   3. Architectural Aspects for Context Exploitation in Information Fusion

      • Jesús García, Lauro Snidaro, James Llinas

      Pages 185-203

   4. Middleware for Exchange and Validation of Context Data and Information

      • Jurgo-Soren Preden, James Llinas, Leo Motus

      Pages 205-230

   5. Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

      • Benjamin Newsom, Ranjeev Mittu, Mark A. Livingston, Stephen Russell, Jonathan W. Decker, Eric Leadbetter et al.

      Pages 231-267

5. Mathematical Characterization of Context

   1. Front Matter

      Pages 269-269

      PDF

   2. Supervising the Fusion Process by Context Analysis for Target Tracking

      • Vincent Nimier

      Pages 271-295

   3. Context Exploitation for Target Tracking

      • Giulia Battistello, Michael Mertens, Martin Ulmke, Wolfgang Koch

      Pages 297-338

   4. Contextual Tracking in Surface Applications: Algorithms and Design Examples

      • Adam M. Fosbury, John L. Crassidis, Jemin George

      Pages 339-379

   5. Context Relevance for Text Analysis and Enhancement for Soft Information Fusion

      • Michael Kandefer, Stuart C. Shapiro

      Pages 381-401

   6. Algorithms for Context Learning and Information Representation for Multi-Sensor Teams

      • Nurali Virani, Soumalya Sarkar, Ji-Woong Lee, Shashi Phoha, Asok Ray

      Pages 403-427

This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.

• Context Representation and Exploitation
• Data and Information Fusion
• Hard and Soft Fusion
• Intelligent Algorithms
• Robustness and Adaptation
• Situation Awareness
• Uncertainty Characterization

• Department Mathematics and Computer Science, University of Udine, Udine, Italy

  Lauro Snidaro

• University Carlos III, Department of Computer Science and Engg. University Carlos III, Colmenarejo, Spain

  Jesús García

• Center Multisource Info. Fusion & Dept, Univ. at Buffalo, of Industrial and Engg Center Multisource Info. Fusion & Dept, Buffalo, USA

  James Llinas

• Information Directorate, Air Force Research Laboratory Information Directorate, Rome, USA

  Erik Blasch

Dr. Lauro Snidaro is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Udine, Italy. Dr. Jesús García is an Associate Professor in the Computer Science and Engineering Department at the Carlos III University of Madrid, Spain. Dr. James Llinas is an Emeritus Professor in the Department of Industrial and Systems Engineering, and in the Department of Electrical Engineering, at the State University of New York at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientist at the Air Force Research Laboratory Information Directorate (AFRL/RIEA) in Rome, NY, USA. The editors and contributors have all been leading experts within the international society of information fusion (ISIF).

Policies and ethics