Infogistics' RealTerm is a topic identification and clustering technology. It analyses results returned by a search, organizes these results into a hierarchy of topics and presents you for browsing and exploring. For example, if you search for "chocolate cake recipe" on the Internet, RealTerm analyses abstracts of found documents and creates topics such as "chocolate slab cake recipe", "chocolate pudding cake recipe", "chocolate Zucchini cake recipe", "chocolate cake recipe from Cuisine Magazine", etc. Clicking on a topic retrieves you all and only relevant documents no matter whether they were listed in the first ten or the last hundred of the original search.

There are two main features that make RealTerm content delivery unique:

• topics and subtopics are automatically created by RealTerm. They do not come from an existing static hierarchy like Yahoo or Yellow Pages but are dynamically constructed to closely model the content of every specific document collection and even every specific search. This means that information structuring is very highly personalized to reflect each individual search.
• Topics have been identified and structured into hierarchical relations in real-time e.g. in a matter of seconds after the search engine returned its search results. This means that RealTerm can be installed on top of any existing search engine, database, corporate Information Management System, legacy systems etc. So an existing corporate information structure can be turned into an advanced knowledge discovery system in a matter of seconds.

RealTerm not only allows you to find and aggregate all relevant content from a variety of data sources, it also allows you to explore new information e.g. to see what is there. Rather than forcing the user to guess exactly the right query RealTerm relies on our ability to "know it when we see it". So you can issue a broad request such as "search for all documents which mention health" and then identify specific areas of interest. RealTerm constantly monitors the user's actions to continually tailor the topics to accurately reflect the user's interest, essentially supporting zooming in to the needle in the haystack.

In short, RealTerm technology solves long-standing requirements of information overflow economy: highly personalized delivery of information structured in a fine grained hierarchy of topics. Moreover, since RealTerm can be easily integrated with various information sources in real-time it can aggregate information coming from diverse sources in a consistent way. So for instance you can easily aggregate all documents on a specific subject scattered across multiple departments of your organization.

RealTerm also comes with its own search engine, which can index and make searchable all electronic content in your organization ranging from emails and MS-Word documents to Lotus Notes and Oracle stored information. Indeed this is only needed if you do not have already installed Information Management structure to which RealTerm can be dynamically integrated.