Computer-aided methods and systems for pattern-based cognition from fragmented material

Abstract

A method for obtaining and analyzing information objects including generating, collecting or discovering information objects. The information objects are signified at least in part using deliberately ambiguated signifier prompts, for example, linear scale opposing negatives or positives, and/or multi-dimensional signifier prompts. The information objects may comprise text or non-text fragments, and may be generated or selected. The responses to the signifier prompts are stored with the fragments to provide a dataset of signified fragments. The signified fragments may be analyzed based on the signifiers and can be utilized as part of an explorable knowledge repository, or objective measures can be created to aid in mass opinion capture or human attitude auditing. The fragments may be represented on a graphical template. In one embodiment, fragment exemplars are identified that exemplify significant locations on the template, and the exemplar signifiers are used to automatically locate other signified fragments on the template.