Short answer
A Semantic Map organizes your Project’s key terms into logical categories, improving the accuracy and clarity of AI-powered searches and responses.
Full explanation
A Semantic Map is a structured list of important terms for a specific Project, grouped into meaningful categories. It uses AskTuring’s patented semantic technology to help the AI interpret and search your documents more effectively.
Each Semantic Map typically includes 4 to 10 categories. These are logical groupings of related terms, such as “Policies,” “Procedures,” or “Key Forms,” that reflect the content and structure of your Project. It’s also recommended to include one “General Terms” category for items that don’t fit neatly into another group.
By defining and organizing key terms, you help AskTuring understand the context and relationships within your documents. This leads to more accurate searches, improved contextual comprehension, and clearer AI-generated answers.
Example
If your Project contains employee training manuals, you might create categories such as:
Safety Procedures
Equipment Names
Regulations
General Terms
This structure allows you to target searches more precisely and helps AskTuring retrieve the most relevant information faster.
Tips
Keep category names short, clear, and consistent.
Review and update your Semantic Map as new documents are added or existing content changes.
Use “General Terms” as a flexible space for items that don’t fit other categories.
For best results, build your Semantic Map around recurring terms that appear frequently in your Project.