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[InetBib] CFP: IJDL Special Issue on “Knowledge Maps and Information Retrieval (KMIR)”

== Call for Papers ==
International Journal on Digital Libraries
Special Issue on “Knowledge Maps and Information Retrieval (KMIR)”


=== Important Dates ===
Paper submission deadline:      April 30, 2015
First notification:                             June 30, 2015
Revision submission:                     August 31, 2015
Second notification:                      October 31, 2015
Final version submission:            December 1, 2015

=== Aims and Scope ===

The success of an information system depends mainly on its ability to properly 
support interaction between users and information. Current information systems, 
however, show as a particular point of failure the vagueness between user 
search terms and the knowledge orders of the information space in question. 
Studies in interactive information seeking behavior have confirmed that the 
ability to browse an information space and observe similarities and 
dissimilarities between information objects is crucial for accidental 
encountering and the creative use of information. This is in particular true 
for heterogeneous information spaces within the open web. Some kind of guided 
searching therefore becomes more and more important in order to precisely 
discover information without knowing the right search terms.

Knowledge mapping encompasses all attempts to use visualizations to gain 
insights into the structure and evolution of large-scale information spaces. 
Knowledge maps can take the form of network visualizations, heat maps, tree 
maps or specific, map like arrangements of search results. However, most maps 
are static visualizations made for special purposes, and usually neither 
interactive nor dynamic. Moreover, not much of the experiences made in 
knowledge mapping have ever been implemented in online interfaces to digital 
libraries and collections, nor is there a stable and continuous knowledge 
exchange between the “map makers” on the one hand and the Information Retrieval 
(IR) specialists on the other hand. Thus, knowledge maps of digital library 
collections are promising navigation tools through knowledge spaces but still 
far away from being applicable for searching - due to a lack of models that 
properly combine insights of the two strands.

The focused issue therefore aims at bringing together these two communities in 
order to discuss the potential of interactive knowledge maps for information 
seeking purposes and to create a common ground for experiments aiming at the 
incorporation of knowledge maps into IR models at the level of the user 
interface. Therefore, the leading research questions for this special issue are 
twofold: How can knowledge maps be utilized for information seeking in large 
information spaces? And, the other way around: Can insights from IR also 
improve knowledge mapping itself?

=== Topics of Interest ===
This special issue will solicit high quality papers that demonstrate 
exceptional achievements on Knowledge Maps and Information Retrieval, including 
but not limited to:

·         Knowledge maps for digital libraries

·         Knowledge orders of information spaces

·         Information seeking behaviour

·         Information discovery

·         Interactive IR systems

·         Human–computer IR

·         Knowledge Visualization in IR

·         Visual interfaces to information systems

·         Browsing and navigating information spaces

·         Task based user modelling, interaction and personalization

·         Evaluation of interactive IR systems.

=== Guest Editors ===
Peter Mutschke, GESIS – Leibniz Institute for the Social Sciences, Cologne, 
Germany (contact person)
Andrea Scharnhorst, Royal Netherlands Academy of Arts and Sciences, Amsterdam, 
The Netherlands

Nicholas J. Belkin, Rutgers University, USA

André Skupin, San Diego State University, USA
Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Cologne, 

=== Paper Submission ===
Papers submitted to this special issue for possible publication must be 
original and must not be under consideration for publication in any other 
journal or conference. Previously published or accepted conference papers must 
contain at least 30% new material to be considered for the special issue. All 
papers are to be submitted by referring to http://www.springer.com/799. At the 
beginning of the submission process, under “Article Type”, please select the 
appropriate special issue. All manuscripts must be prepared according to the 
journal publication guidelines which can also be found on the website provided 
above. Papers will be reviewed following the journal standard review process.

Kind regards,
Peter Mutschke
Acting Head of Department
Dep. Knowledge Technologies for the Social Sciences
GESIS – Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8
D-50667 Köln
Tel.: +49(0)221 / 47694 -500
Mail: peter.mutschke@xxxxxxxxx<mailto:peter.mutschke@xxxxxxxxx>

Listeninformationen unter http://www.inetbib.de.