Important Dates
15 Feb 2010
Brief description
01 Mar 2010
Paper Submission
Nov/Dec 2010
Publication
Guest editors:
Francesco Guerra Sonia Bergamaschi Barry Leiba

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 have to remember to check social - networking sites, news sources, and company web sites daily - or even many times each day. A web search will produce more hits than we can sift through, as we try to find what we were really looking for. We once worked within the paradigm that being "up to date" means collecting as much information as we can, but that paradigm is no longer valid: we must limit the flood, or drown, as available data sources provide more information than any human can process.

Newspapers, TV networks, and press agencies from all over the world publish hundreds of thousands of partially overlapping articles every day. The management of that much information is a very complex task: information about the same subject may be available from multiple sources, having different levels of trust, in different languages and formats, expressed with a different lexicon. Moreover, the news evolves, generating similar but changing information within a short time period. "Syndication" technology - such as RSS and Atom - and feed readers may provide some support, but issues related to the analysis, classification, evolution, retrieving of news and other information are open problems.

The management of 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, evaluation of tools, and future research directions in overcoming information overload. Appropriate topics include, but are not limited to:

  • building and managing repositories of information
  • extracting, matching, classifying, clustering, similarity measuring, natural language analysis, and indexing applied to information
  • retrieval, aggregation, and visualization of information
  • personalization, ranking, collaborative filtering, and keyword-based search engines
  • syndication technology and feed readers


Important Dates
15 Feb 2010 - Authors are required to send a brief description of their contribution to the Guest Editors
01 Mar 2010 - Final Submission Due
Nov/Dec 2010 - Publication Date

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

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