Price:
contact company Platform:
Windows NT, 2000, 2003
Features
Enterprise Search offers retrieval from disparate enterprise data stores
OEM concept-based search engine library for embedding in applications
Autometric clustering engine works with these and other search engines
Dynamic indexing and near-instant searchability of new documents or data.
Simultaneous keyword and parametric searches.
Identifies concepts based on words in context, recognizing associations.
Uses proprietary mathematical algorithms incorporating machine learning
and vector space modeling.
Usable for any language, including Japanese and other double-byte languages.
Dynamically maps relationships among words in large sets of documents.
Can find relevant documents even when the search term does not appear.
Enterprise version offers web-based administration, including the ability to create sets of documents, index documents, delete documents from sets, set-up Semetric server clusters and more.
High-level API in Java and COM for integration with portals and
systems.
Has been deployed for resume searching, patents, portals, and government
knowledge management systems.
Articles & Reviews
Semetric: Building a Bigger, Better Query PDF InformationToday
:
September 9 2005 Available only as a PDF on Engenium's site, this article surveys the uses and benefits of Semetric's concept-based search technology.
A Supercharged Search Engine for LawyersBusinessWeek Online
:
June 25 2003
by
Alex Salkever Describes how Fios Inc. uses Engenium's contextual and concept-based search technology to enable enhanced searching of legal records and documents.
Examples
HireAbility - Job search and placement site partnered with Engenium Semetric to create their ALEX résumé processing tool.
OLIVER - Celerity Consulting Group's online document viewer with conceptual-based searching using Engenium's Semetric technology.
Fios, Inc. - Fios has incorporated Engenium technology into their discovery and information management tools.