Structural Question-Depth Mapping

Structural Question-Depth Mapping is the process of determining which depth of a knowledge structure a user question activates, from factual materials to methods, theories, concepts, and fundamental questions.

A user question is not only a string of words. It is an activation of a particular depth of knowledge. Some questions ask for factual lookup. Some ask how something should be done. Some ask whether a theory can explain a case. Some ask what a concept means. Some ask why the issue matters at all. SonaMinds uses Structural Question-Depth Mapping to recognize these differences before retrieval and generation.

This concept connects two foundations of the SonaMinds system. The first is the layered representation of expert knowledge. The second is executable request classification. Knowledge has layers, and questions activate layers. The mapping between them determines the depth and mode of answer.

Five common question depths

A factual question primarily activates the material layer. It asks for a date, passage, definition, location, or concrete item. A method question activates operational rules and examples. It asks how to apply, evaluate, compare, or proceed. A theoretical question activates models and explanatory structures. It asks whether a framework can explain a phenomenon or how different theories relate. A conceptual question activates core concepts and assumptions. It asks what a term means within a system. A foundational question activates fundamental concerns and value orientation. It asks why the problem matters or what it reveals about the larger field.

These depths are not rigid boxes. A single research question may activate multiple layers. The purpose of mapping is not to simplify the question artificially, but to identify the dominant depth required for a responsible answer.

Why mapping matters

Without question-depth mapping, an AI system may answer every question in the same way. It may retrieve documents and summarize them even when the user needs conceptual clarification. It may provide broad commentary when the user needs a specific factual answer. It may generate a long answer when a short answer would be more accurate. Structural Question-Depth Mapping helps prevent this mismatch.

The mapping also supports context and resource discipline. A shallow factual question should not require a deep research process. A deep theoretical question should not be forced into a quick reply. SonaMinds uses depth mapping to align the response with the actual intellectual demand of the question.

Conceptual boundary

Structural Question-Depth Mapping is not the same as difficulty estimation. A question can be difficult because it is technical, but still operate at a factual layer. Another question can be short and simple in wording, yet conceptually deep. The relevant question is not how hard the sentence looks, but which part of the knowledge structure must be activated to answer it well.

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