Sift and sort: Climbing the semantic pyramid

Abstract

Information processing operations in support of intelligence analysis are of two kinds. They may sift relevant data from a larger body, thus reducing its quantity, or sort that data, thus reducing its entropy. These two classes of operation typically alternate with one another, successively shrinking and organizing the available data to make it more accessible and understandable. We term the resulting construct, the "semantic pyramid." We sketch the general structure of this construct, and illustrate two adjacent layers of it that we have implemented in the Ant CAFÉ. © Springer-Verlag Berlin Heidelberg 2006.