Introduction > Introduction to IDOL Server > IDOL Server Operations > Categorization

IDOL server can automatically categorize data. The flexibility of Autonomy Categorization allows you to precisely derive categories using concepts found within unstructured text. This process ensures that IDOL server classifies all data in the correct context with the utmost accuracy. Autonomy Categorization is a completely scalable solution capable of handling high volumes of information with extreme accuracy and total consistency.
Autonomy Categorization does not rely on rigid rule based category definitions such as Legacy Keyword and Boolean Operators. Instead, Autonomy infrastructure uses an elegant pattern matching process based on concepts to categorize documents. It can then automatically tag data sets, route content, or alert users to highly relevant information pertinent to the user profile.
Autonomy hooks into various repositories and data formats respecting all security and access entitlements, delivering complete reliability.
Category Matching
IDOL server accepts a category or piece of content and returns categories ranked by conceptual similarity. This ranking determines the most appropriate categories for the piece of content, so that IDOL server can subsequently tag, route, or file the content accordingly.