2nd CFP: TPDL-Workshop on Science-Model- and Task-aware Search (SciMoTS)

Mutschke, Peter Peter.Mutschke at GESIS.ORG
Tue Jul 3 01:22:55 EDT 2012

[Apologies for cross posting]

== Second 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).


=== Important Dates ===
- Submissions: July 13, 2012
- Notification: August 10, 2012
- Camera Ready Contributions: August 24, 2012
- Workshop: September 27, 2012 in Cyprus

=== Keynote ===
Andrea Scharnhorst from the Virtual Knowledge Studio, Amsterdam, will give a keynote on "Mapping science and modeling science dynamics - consequences for digital collections and navigation through them".

=== 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 model 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).

=== 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 scimots2012 at easychair.org<mailto:scimots2012 at easychair.org> - Please, feel free to contact us.

=== Programm Committee ===

Farag Ahmed, GESIS - Leibniz Institute for the Social Sciences, Germany
Reginald Ferber, University of Applied Sciences Darmstadt, Germany
Nicola Ferro, University of Padova, Italy
Ingo Frommholz, University of Bedfordshire, UK
Norbert Fuhr, University of Dortmund, Germany
Daniel Hienert, GESIS - Leibniz Institute for the Social Sciences, Germany
Birger Larsen, Royal School of Library and Information Science, Denmark
Vivien Petras, Humboldt-Universität Berlin, Germany
Andrea Scharnhorst, Royal Netherlands Academy of Arts and Sciences in Amsterdam
Christian Schlögl, University of Graz, Austria
Howard D. White, Drexel University, USA
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