Special Issue: Discovering Knowledge through Highly
Interactive Information Based Systems
Aim & Scope
In the current digital information age, a critical issue is how
we process the knowledge behind the huge amount of information that appears
every day through every aspect of life (news, social media, TV, radio,
email, blogs, papers and so on). Everywhere you look, the quantity of
information in the world is soaring, at the beginning of 21st century
there was the estimation that the world produces one to two exabytes
(billion gigabytes) of unique information every year (Lyman and Varian,
2000), The Economist estimates that mankind created 150 exabytes of data
in 2005 and 1,200 exabytes in 2010. That means lots of data in form of
text, numbers, images, sounds, etc. that are deemed important by humans
for different purposes.
The problem is the capacity to process, understand and take advantage
from this information overload. Visualization techniques have the ability
to convey information at the high bandwidth of the human perceptual system,
facilitating recognition of patterns in the information space and supporting
navigation in large collections (Thomas et al., 2001). However, the challenge
is not only knowledge representation in information system but highly interactive
environments that offer a deep data interaction that allows non trivial
knowledge discovering and decision making by users.
The combination of visualization techniques, visual analytics techniques,
data mining techniques, intelligent recommendation agents, user centered
evaluation and usability patterns, etc. in interactive systems is a key
issue for knowledge discovering in current and future information systems.
Areas for inclusion in this special issue comprise those related to
knowledge discovering and visual analytics in interactive information
systems. Every submission must spell out the implications of findings
in the paper for highly human-computer interactive information systems.
Topics covered include, but are not limited to:
Topics
Interactive knowledge discovering
Knowledge discovering in visual collaborative systems
Visual representations and interaction techniques
Analytical reasoning
Data representations and transformations
Visual analytics information systems experiences
Visualization in user centered system
Instructions to Authors
Potential authors should submit full papers by the Submission Deadline.
Manuscript should be submitted to fgarcia@usal.es. Manuscripts should not
exceed 18 double-spaced pages. Papers should be prepared according to
the JISE guidelines for authors. A template of submitted paper can be
found at
http://www.iis.sinica.edu.tw/page/jise/InstructiontoAuthors.html.
All papers will be blind reviewed.
Important Dates
Submission Deadline: January 31, 2012
Acceptance Notification: March 30, 2012
Final Manuscript Due: April 30, 2012
Publication Date: Vol. 28, No. 4, July 2012 (tentatively)
For more information, please contact the guest editors:
Guest Editors
- Prof. F. J. García-Peñalvo
University of Salamanca
Spain
fgarcia@usal.es
- Prof. R. Colomo-Palacios
University Carlos III
Madrid, Spain
ricardo.colomo@uc3m.es
- Prof. Jane Yung-jen Hsu
Department of Computer Science and Information
Engineering
National Taiwan University
Taiwan
yjhsu@csie.ntu.edu.tw