Engenium Search


Technology

Technology Overview

The Science Behind Ontrack® Engenium®: Latent Semantic Analysis

Different concept search engines use different technologies to search for information based not only on what documents say, but on what they mean. The Ontrack® Engenium® patented conceptual search and automatic clustering engines expands on one of the most powerful of these methods - latent semantic analysis - to bring new precision to the information discovery process.

Latent semantic analysis uses advanced statistical modeling to automatically "understand" text by evaluating the context in which it is used. This model has shown a remarkable ability to simulate human information processing tasks such as judging semantic similarities and relationships while also eliminating the need for complex query syntax.

Ontrack® Engenium® is an advanced concept-based search engine designed to be embedded in a variety of information access applications to generate better, faster search results. With Engenium’s patented conceptual search capabilities as well as built-in keyword and parametric search functionality, users can rapidly find information that would be time-consuming or impossible to find with a keyword or parametric search alone.

Ontrack® Engenium® includes many features designed to dramatically increase scalability as well as intelligent resource management modules including: Enhanced Data Manageability; On-Demand Caching; and Disk Based Access.

Benefits:

""Clients are amazed when Ontrack® Engenium® retrieves relevant documents that don't even contain the keywords…. It uncovers relevant data that hadn't been turned up in previous key-term searches." -- Information Today

  • For End Users
  • For Integrators, ISVs, & ASPs
  • For Enterprise Search

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Technology Applied

The Ontrack® Engenium® customers cover a broad array of markets, with varying challenges. The diversity of our customer list displays the versatility of the Ontrack® Engenium® technology. Here are a few of the organizations using the conceptual search and automatic clustering engines technology to achieve their successes.

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