The Auto-tagger is built-in to the Concept Manager, but it is the veritable core of Epinomy. It adds all the appropriate metadata to unstructured documents (and textual structured data) that make them findable in search.
An Epinomy is an "Active Taxonomy". It is a taxonomy that does something. That means that each term in the taxonomy can have a rule associated with it, and that rule determines whether or not a document is tagged with that term.
The technology behind the auto-tagger is called a "Reverse Search Engine". If you think of a regular search engine, it's what you find at Google and Bing and maybe on your enterprise home page. A regular Search Engine takes a single user query and applies it to thousands or millions of documents in an index. The return value is a list of the top documents that match that user query. Those are the "10 blue links" that you see on the Google.com search results page.
A reverse search engine evaluates one document against hundreds or thousands of queries (rules) and returns the terms whose rules match the document. This is sometimes called "Alerting" or "Profiling". We call it "Auto-tagging" because of what we do with the return values.
Once we know which terms match the document, we attach them as metadata to the document.
Auto-tag text documents and data
Automatically add appropriate terms from the Concept Manager to unstructured documents and semistructured text to help make them more findable in search.
Automatically update metadata applied to all content in Epinomy when additions, deletions or structural changes are made to the concepts in the Concept Manager. Tagging is always current ensuring that metadata application matches the current state of the structures in the Concept Manager.
Apply meta data exactly where you want it
Apply metadata at the document level or specifically to text within a document.
Set up Google-style alerts so you are aware of new content added to Epinomy.