A comparison of synthesis and integrative approaches for meaning making and information fusion

Robert G. Eggleston; Laurie Fenstermacher

doi:10.1117/12.2266995

2 May 2017 A comparison of synthesis and integrative approaches for meaning making and information fusion

Robert G. Eggleston, Laurie Fenstermacher

Proceedings Volume 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI; 102000Q (2017) https://doi.org/10.1117/12.2266995
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Traditionally, information fusion approaches to meaning making have been integrative or aggregative in nature, creating meaning “containers” in which to put content (e.g., attributes) about object classes. In a large part, this was due to the limits in technology/tools for supporting information fusion (e.g., computers). A different synthesis based approach for meaning making is described which takes advantage of computing advances. The approach is not focused on the events/behaviors being observed/sensed; instead, it is human work centric. The former director of the Defense Intelligence Agency once wrote, “Context is king. Achieving an understanding of what is happening – or will happen – comes from a truly integrated picture of an area, the situation and the various personalities in it…a layered approach over time that builds depth of understanding.”1 The synthesis based meaning making framework enables this understanding. It is holistic (both the sum and the parts, the proverbial forest and the trees), multi-perspective and emulative (as opposed to representational). The two approaches are complementary, with the synthesis based meaning making framework as a wrapper. The integrative approach would be dominant at level 0,1 fusion: data fusion, track formation and the synthesis based meaning making becomes dominant at higher fusion levels (levels 2 and 3), although both may be in play. A synthesis based approach to information fusion is thus well suited for “gray zone” challenges in which there is aggression and ambiguity and which are inherently perspective dependent (e.g., recent events in Ukraine).

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Robert G. Eggleston and Laurie Fenstermacher "A comparison of synthesis and integrative approaches for meaning making and information fusion", Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 102000Q (2 May 2017); https://doi.org/10.1117/12.2266995

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KEYWORDS

Information fusion

Data fusion

Computing systems

Defense and security

Algorithm development

Analytical research

Information technology

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