Semantic map controls
Semantic map controls help you explore the project-level landscape across sources, notes, chats, and concepts. Unlike a source-level knowledge map, a semantic map shows how project items relate to each other.
Core elements
| Element | Meaning |
|---|---|
| Point or item | A source, note, chat, or project artifact in the projection. |
| Cluster | A group of semantically related items. |
| Density | A region where many related items occupy similar space. |
| Label | A generated description of a region, theme, or item. |
| Angle prompt | A user-provided perspective that changes the projection. |
| Search | A way to find a concept or item on the map. |
Spatial interpretation
Items close together are semantically related in the current projection. Distance is a reading aid, not a mathematical proof of importance or causality.
Outliers can be useful. They may represent unrelated material, a unique method, a different domain, or a source that needs review.
Angle prompts
An angle prompt changes the lens for the map. For example, the same project can be projected around "methods", "limitations", "clinical relevance", or "commercial opportunity".
Use a concrete angle when the default map is too broad. Avoid vague angles like "interesting things" unless you are intentionally exploring.
Opening items
Selecting an item should move you from the visual overview to the underlying material. The map is most useful when it helps you decide what to read, compare, or ask about next.
Semantic map versus knowledge map
| Map | Scope | Best for |
|---|---|---|
| Semantic map | Project-level landscape across items. | Finding clusters, gaps, and relationships across the workspace. |
| Knowledge map | Source-level or topic-level structure. | Understanding concepts and relationships inside a source or focused source set. |
Reading caution
Generated clusters and labels can be useful but imperfect. Open the underlying items before using a cluster label as a research conclusion.