CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Panayiotis Zaphiris <[log in to unmask]>
Reply To:
Panayiotis Zaphiris <[log in to unmask]>
Date:
Sat, 16 Jun 2012 19:11:32 +0300
Content-Type:
text/plain
Parts/Attachments:
text/plain (130 lines)
== Call for Papers ==

First International Workshop on Science-Model- and Task-aware Search (SciMoTS)

to be held as part of the 16th International Conference on Theory and
Practice of Digital Libraries (TPDL).

http://www.tpdl2012.org/

September 27, 2012 in Cyprus

http://www.gesis.org/en/events/conferences/scimots/

=== Aim of the Workshop ===

Retrieval evaluations such as TREC or CLEF have shown that simple
text-based retrieval methods scale up very well but do not progress
anymore: Traditional ad-hoc retrieval seems to have reached a high
level of quality in terms of measures like precision and recall.
Nevertheless digital libraries and especially scholarly information
systems still face major retrieval challenges that are present since
the early days of digital libraries: Vagueness between search and
indexing terms, information overload by the amount and complexity of
result sets, and the drawbacks of text based relevance rankings.
Therefore we will focus on two new approaches to improve the retrieval
process in digital library systems: Science models and task-based
retrieval.

Science models address issues in statistical modelling and mapping of
structures and scholarly activities in scientific domains. Until now
the outcome of bibliometric/scientometric research is rarely used to
enhance retrieval processes in digital libraries although first
approaches in this domain have shown that the use of science models
can offer a variety of value-added effects for users. Advanced
bibliometric as well as network models of the structure of scientific
communities are especially promising to open up alternative access
paths into a scientific digital library. While science models are
related to the structure of the information space, task aware
searching and browsing focus on the user and his/her search task.
Search is a highly dynamic and interactive process where within each
phase the user faces a new situation which may change the current
information need – even more on long-term interactive search
activities. A task-aware modeI for each search phase would reflect the
particular information need in question to support the user on these
long term tasks.

The central research question for this workshop therefore is: How can
models of science, in particular dynamic models mapping the evolution
of science, and models of the long-term dynamics in scholarly,
task-oriented searching be mutually interrelated in order to enhance
retrieval quality? The aim of this workshop is to bring together
researchers from different domains, such as information retrieval,
information seeking, science modelling, bibliometrics, scientometrics,
network analysis, and digital libraries to move toward a deeper
understanding of this research challenge.

=== Workshop Topics ===

To support the previously described goals the workshop topics include
(but are not limited to) the following:
•	IR for digital libraries and scientific information portals
•	IR for scientific domains, e.g. social sciences, life sciences etc.
•	Information Seeking Behaviour
•	Bibliometrics, citation analysis and network analysis for IR
•	Query expansion and relevance feedback approaches
•	Science Modelling (both formal & empirical)
•	Task based user modelling, interaction, and personalisation
•	(Long-term) Evaluation methods and test collection design
•	Collaborative information handling and information sharing
•	Classification, categorisation and clustering approaches
•	Information extraction (including topic detection, entity and
relation extraction)
•	Recommendations based on explicit and implicit user feedback

We especially invite descriptions of running projects and ongoing
work. Papers that investigate multiple themes directly are especially
welcome.

=== Types of Submissions ===

•	Full Papers (6 to 8 pages): Full papers, describing advanced or
completed work
•	Short Papers (4 pages): Position papers or work in progress
•	Poster and Demonstrations (2 pages): Poster and Presentation of
systems or prototypes

Submissions have to follow the Springer LNCS Author Guidelines
(http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) and
should be submitted as PDF files to EasyChair
(http://www.easychair.org/conferences/?conf=scimots2012). All
submissions will be reviewed by at least two independent reviewers.
Please be aware of the fact that at least one author per paper needs
to register for the workshop and attend the workshop to present the
work. In case of no-show the paper (even if accepted) will be deleted
from the proceedings AND from the program.

Printed proceedings will be distributed to all attendees. In addition,
workshop proceedings will be deposited online in the CEUR workshop
proceedings publication service (ISSN 1613-0073) – This way the
proceedings will be permanently available and citable (digital
persistent identifiers and long term preservation).

=== Important Dates ===

•	Submissions: July 13, 2012
•	Notification: August 10, 2012
•	Camera Ready Contributions: August 24, 2012
•	Workshop: September 27, 2012 in Cyprus

=== Organizers ===

Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany
Philipp Schaer, GESIS - Leibniz Institute for the Social Sciences, Germany
Claus-Peter Klas, Distance University in Hagen, Germany
Preben Hansen, SICS, Sweden

Supported by Philipp Mayr, GESIS - Leibniz Institute for the Social
Sciences, Germany. Any questions regarding the workshop can be posted
to [log in to unmask] - Please, feel free to contact us.

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2