Past Conferences
 
 
Shanghai, China
 
ICADL 2003
 
Kuala Lumpur, Malaysia
 
 
Singapore
 
 
Bangalore, India

Email: cal@eller.arizona.edu

 Instructions to Authors and Award Information

Prospective authors from all parts of the world are invited to submit their papers dealing with original work which, at the time of submission, is not under review or has not been published or accepted for publication in a journal or by another conference.

Papers must be written in English, conforming to the formatting instructions of LNCS, Springer (http://www.springer.de/comp/lncs/authors.html). Each paper must not exceed 10 pages and should contain a list of about 5 key-words, at least one of which must be taken from the topics listed above.

Each paper will be reviewed by at least three reviewers. Based on their recommendations, a decision will be made regarding rejection or acceptance as poster (up to 2 pages), short paper (up to 4 pages), or long paper (up to 10 pages). The Conference Proceedings will be published in the LNCS series, Springer.

Best paper awards also will be conferred on the authors of the best paper(s) at the conference. Selected ICADL2005 papers may be expanded and revised for possible publication in special issues of:

International Journal on Digital Libraries (http://www.dljournal.org).

Journal of Digital Information (http://jodi.ecs.soton.ac.uk/)

Library Hi Tech (http://www.emeraldinsight.com/rpsv/lht.htm)

The awards for best paper will be selected by a subcommittee of the conference program committee. Criteria for award include:

Importance of the scientific contribution

Originality

Appropriateness of methodology

Usefulness and relevance to the field

Presentation and organization

 

 Important Dates

  • 22 June 05
Submission of paper abstracts (extended)
  • 30 June 05
Submission of full papers (extended)
  • 31 July 05
Submission of panel/tutorial/workshop proposals
  • 31 August 05
Notification of acceptance
  • 30 September 05
Camera-ready copy due date
   Copyright 2005 Artificial Intelligence Lab, The University of Arizona