Call for papers for a special issue of
The International Journal on Multi-Sensor, Multi-Source
Information Fusion
On
Editor-in-Chief: Dr. Belur V. Dasarathy
d.belur@elsevier.com http://belur.no-ip.com
The
Information Fusion Journal is planning a special issue devoted to Web
Information Fusion. The World Wide Web provides a new medium for
information storage, sharing, processing and distribution. The availability,
accessibility and flexibility of information and tools to access information
lead to new opportunities. However, there are many challenges, i.e., we have to
deal with more complex tasks, and more demands for quality and productivity.
The challenges of seeking the right information and learning to effectively use
the existing tools are greater due to the rate of growth and diversity of
information. The aim of this special issue is to provide a forum for
presentation on recent advances in Web Information Fusion. It is
meant to cover foundations, methodology and applications of Web information
fusion, including information fusion with the Web technology and fusion of
Web-based information. Soft computing approach, for instance, with its tolerant
of imprecision, uncertainty, partial truth, and approximation, is highly
promising for the integration of diverse sources and types of Web information.
Manuscripts (which should be
original and not previously published or presented
in a more or less similar any form under any other forum) covering novel methods
and applications of Web information fusion especially with soft computing
approaches are invited. Topics
appropriate for this special issue include, but are not limited to:
·
Web
Information Fusion
·
Novel
Web Information Fusion Methods
·
Web
Information Fusion With Soft Computing Approaches
·
Web
Information Fusion with Classification Techniques
·
Web
Information Fusion with Clustering Techniques
·
Web
Mining for multi-source Data
·
Web-based
Support Systems for Information Fusion
·
Information
Fusion with Metasearch Engines
·
Fusion
of Web Search Engines
·
Multimedia
Web Data Fusion
·
Information
Fusion on Web-Based Remote Sensing
·
Intelligent
Agents For Multi-Source Web Information Fusion
Manuscripts
should be submitted electronically online at http://www.elsubmit.com/esubmit/inffus. (The corresponding author will have to create a user
profile if one has not been established before at Elsevier) Simultaneously,
please also send without fail an electronic copy (PDF format preferred), to the
Guest Editors listed below.
Guest Editors
JingTao Yao
Department of Computer Science
University of Regina
Regina, SK, S4S 0A2, Canada
Center for Advanced Computer Studies
University of Louisiana at Lafayette
Lafayette, LA 70504-4330, USA