It uses pattern-matching algorithms, contextual analysis, and concept extraction to automate categorization. It describes an easy to navigate visual interface for searching showing a unified view of disparate sources called the Visualizer module but doesn't really explain if this is a hierarchical view or classification tree structure. Knowledge Discovery Concept Server uses filtering and query building tools for better information retrieval. It prompts the user with contextually related terms drawn from sample content, and the user clicks on them to build queries that have the highest likelihood of success. You may also license the software to use on your own corporate website or intranet.
Users can browse or search the directories to find the document they are looking for.
Semio claims it is a truly automated process without human intervention. In fact, the owner sets the top level of the taxonomy, but the remainder of the categories are created from the source text and matched to 2000 or so lower level categories provided by Semio in their Semio Topic Library.