By Topic

The Babylon project: toward an extensible text-mining platform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

GlaxoSmithKline committed to adopting Verity, an indexing and search engine, to retrieve knowledge within the company intranet. Verity was attractive because it supported taxonomy-oriented browsing and concept-enhanced search. To tap the power in Verity's features, GlaxoSmithKline's Data Exploration Sciences began the Babylon project in late 2002 with two primary goals: develop a text-mining platform that would be the foundation for a variety of text-mining applications and would be extensible to a variety of domains; and develop one or more significant prototype applications on that platform. The first prototype application considered was to mine reports on adverse drug events to identify trends, drug and reaction events, or drug-drug interactions that might not be apparent in nontextual structured databases. The paper discusses the Babylon project.

Published in:

IT Professional  (Volume:5 ,  Issue: 2 )