By Topic

Using CiteSeer to analyze trends in the ACM's computing classification system

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
$31 $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

3 Author(s)
Speretta, M. ; Univ. of Arkansas, Fayetteville, AR, USA ; Gauch, S. ; Lakkaraju, P.

Classification systems for research publications are often based on taxonomies. The ACM society for computing and professionals provides a digital library whose cataloguing system is based on a taxonomy that has been continuously updated over the years. The CiteSeer collection contains a large collection of computer science research papers, many of which are tagged with categories from the ACM's taxonomy. By analyzing the small portion of CiteSeer's manually tagged documents and by considering different time frames, we extracted statistics that shows how the ACM's taxonomy covers the publications in computer and information science research sub-fields. We also studied size and growth of categories over the last four available years. These results allow us to reveal areas with higher or lower publication rate. We believe that these techniques could be exploited to quickly identify trends within taxonomies. This would greatly help to construct more efficient browsing and searching systems.

Published in:

Human System Interactions (HSI), 2010 3rd Conference on

Date of Conference:

13-15 May 2010