Engenium's New Autometric(TM) Clustering Engine Groups Documents According to Common Themes
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New Technology Can Organize Hundreds of Thousands of Digital Documents at Deeper Level than Keyword-Based Clustering; Enables Quick Browsing, Content Discovery
DALLAS, Nov. 16 / -- Engenium Corporation, the leader in conceptual search technology and producers of the award-winning Semetric search technology, today announced the debut of its Autometric(TM) clustering engine, a breakthrough in data organization. Capable of quickly organizing massive amounts of electronic information, Engenium's Autometric technology surpasses other clustering engines by "understanding" documents and other data according to conceptual meaning, then organizing that data into orderly groups according to intuitive topics and subtopics, ready for logical navigation and conceptual search.
Autometric, available as an add-on module of Semetric, greatly increases the abilities of businesses and organizations to manipulate large amounts of raw, disparate or unexamined information. The fully-automatic solution leverages Engenium's patented Semetric technology to group documents according to conceptual meaning and common themes found within the data -- a clear improvement over tools that require upfront, user-generated taxonomies or manual training.
"Many clustering tools require some sort of predetermined labeling or result set to perform their tasks. What's more, they can't handle large numbers of highly complex documents," said Dave Chaplin, President of Engenium. "Not only has Autometric been specifically engineered to handle hundreds of thousands of documents at a time, but also it uniquely provides conceptually-relevant labels based on the information already present within the clustered data."
Quick Browsing, Discovery
Autometric looks for themes and/or phrases that define specific concepts, then assigns pertinent labels to various clusters as it works. Because the engine clearly understands the contents of each cluster, instead of simply identifying the most frequently occurring words, its topics and subtopics facilitate logical browsing and quick, "smart" searches.
Searchers can easily navigate large data loads using Autometric and the labels it generates. Even more, the technology allows users to conceptually search within and across different clusters, enabling efficient searches even if they don't take place within one specific category.
Engenium's Autometric clustering engine requires no manual training or knowledge of existing taxonomies. The product is currently available from the company; for more information about Autometric or Engenium's other solutions for brining structure to an unstructured world, go to www.engenium.com/ .
About Engenium
Engenium Corporation -- the recognized leader in next-generation conceptual search technology and provider of award-winning Semetric(TM) -- enables organizations to rapidly search and retrieve structured and unstructured information. Semetric's simple, embedded design powers Microsoft- and Java-based applications and is currently deployed in numerous defense, intelligence, and commercial applications. Semetric's unparalleled accuracy, high performance, and ease of deployment has been recognized and selected by organizations such as Northrop Grumman, Korn/Ferry, the U.S. Department of Defense, and many others.
CONTACT: Caroline Rubenstein of S&S Public Relations, +1-847-415-9344, crubenstein@sspr.com
