IEEE Internet Computing - Special Issue on Overcoming Information Overload Issues

IEEE Internet Computing
Special Issue on "Overcoming Information Overload Issues"

Internet users today are inundated with 
information. We get masses of email; we are 
interrupted by instant messages; and we must 
remember to check social networking sites, news 
sources, and company Web sites daily­or even many 
times each day. Web searches produce more hits 
than we can sift through, as we try to find what we’re really looking for.

Managing this much information is a very complex 
task. “Syndication” technology­such as RSS and 
Atom­and feed readers might provide some support, 
but issues related to the analysis, 
classification, evolution, retrieval, and other 
information are open problems. Information 
overload, therefore, represents a big challenge 
for software applications seeking to help users 
by collecting, grouping, classifying, indexing, 
selecting, searching, ranking, and filtering pieces of information.

This special issue seeks original articles 
examining the state of the art, open problems, 
research results, tool evaluation, and future 
research directions in overcoming information 
overload. Appropriate topics include:

- building and managing information repositories;
- extracting, matching, classifying, clustering, 
measuring similarity, analyzing natural language, 
and indexing applied to information;
- retrieving, aggregating, and visualizing information;
- personalizing, ranking, collaborative 
filtering, and keyword-based search engines; and
- syndication technology and feed readers

Guest Editors
Francesco Guerra, University of Modena and Reggio Emilia, Italy
Sonia Bergamaschi, University of Modena and Reggio Emilia, Italy
Barry Leiba, Internet Messaging Technology, USA


Important Dates:
Please email the guest editors a brief 
description of the article you plan to submit by 15 February 2010
Final submissions due: 1 Mar. 2010
Publication date: November/December 2010

dott. ing. Francesco Guerra
Researcher in Computer Engineering, Ph. D.
Dipartimento di Economia Aziendale
Universita' di Modena e Reggio Emilia
Phone: +39  059  205 6264 / +39  059  205 6869
Fax:   +39  059  205 6129

Received on Tuesday, 5 January 2010 12:32:54 UTC