URL:
<http://gna.org/task/?5893>
Summary: Submission of Testert Center
Project: Gna! Administration
Submitted by: jucus84
Submitted on: Sunday 04/06/2008 at 13:59
Status: None
Approval Status: None
Should Start On: Sunday 04/06/2008 at 00:00
Should be Finished on: Wednesday 04/16/2008 at 00:00
Category: Project Approval
Priority: 5 - Normal
Privacy: Public
Assigned to: None
Open/Closed: Open
Discussion Lock: Any
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Details:
A new project has been registered at Gna!
This project account will remain inactive until a site admin approves or
discards the registration.
= Registration Administration =
While this item will be useful to track the registration process, *approving
or discarding the registration must be done using the specific Group
Administration <https://gna.org/siteadmin/groupedit.php?group_id=2619> page*,
accessible only to site administrators, effectively *logged as site
administrators* (superuser):
* Group Administration
<https://gna.org/siteadmin/groupedit.php?group_id=2619>
= Registration Details =
* Name: *Testert Center*
* System Name: *attestc*
* Type: Programs
* License: Other, GPL Compatible
----
==== Description: ====
The goal of the nora project is to produce software for discovering,
visualizing, and exploring significant patterns across large collections of
full-text humanities resources in existing digital libraries.
In search-and-retrieval, we bring specific queries to collections of text and
get back (more or less useful) answers to those queries; by contrast, the goal
of data-mining (including text-mining) is to produce new knowledge by exposing
unanticipated similarities or differences, clustering or dispersal,
co-occurrence and trends. Over the last decade, many millions of dollars
have been invested in creating digital library collections: at this point,
terabytes of full-text humanities resources are publicly available on the
web. Those collections, dispersed across many different institutions, are
large enough and rich enough to provide an excellent opportunity for
text-mining, and we believe that web-based text-mining tools will make those
collections significantly more useful, more informative, and more rewarding
for research and teaching. In this effort, we build on data-mining expertise
at the University of Illinoi
_______________________________________________________
Reply to this item at:
<http://gna.org/task/?5893>
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