[InetBib] 2nd Call for Papers: “Bibliometric-enhanced Information Retrieval” Workshop (BIR 2014) at ECIR 2014

["Mayr, Philipp" <Philipp.Mayr@xxxxxxxxx>]

[Apologies for cross posting]

== Second Call for Papers ==
You are invited to participate in the upcoming workshop on 
Bibliometric-enhanced Information Retrieval (BIR 2014), to be held as part of 
the 36th European Conference on Information Retrieval (ECIR).

http://www.gesis.org/en/events/conferences/ecirworkshop2014/

=== Important Dates ===
- Submissions: 31 January 2014
- Notification: 28 February 2014
- Camera Ready Contributions: 14 March 2014
- Workshop: 13 April 2014 in Amsterdam

=== Aim of the Workshop ===
In this workshop we aim to engage with the IR community about possible links to 
bibliometrics and complex network theory which also explores networks of 
scholarly communication. Bibliometric techniques are not yet widely used to 
enhance retrieval processes in digital libraries, yet they offer value-added 
effects for users. Our interests include information retrieval, information 
seeking, science modelling, network analysis, and digital libraries. The goal 
is to apply insights from bibliometrics, scientometrics, and informetrics to 
concrete practical problems of information retrieval and browsing.

Retrieval evaluations have shown that simple text-based retrieval methods scale 
up well but do not progress. Traditional retrieval has reached a high level in 
terms of measures like precision and recall, but scientists and scholars still 
face challenges present since the early days of digital libraries: mismatches 
between search terms and indexing terms, overload from result sets that are too 
large and complex, and the drawbacks of text-based relevance rankings. 
Therefore we will focus on statistical modelling and corresponding 
visualizations of the evolving science system. Such analyses have revealed not 
only the fundamental laws of Bradford and Lotka, but also network structures 
and dynamic mechanisms in scientific production. Statistical models of 
scholarly activities are increasingly used to evaluate specialties, to forecast 
and discover research trends, and to shape science policy. Their use as tools 
in navigating scientific information in public digital libraries is a promising 
but still relatively new development. We will explore how statistical modelling 
of scholarship can improve retrieval services for specific communities, as well 
as for large, cross-domain collections. Some of these techniques are already 
used in working systems but not well integrated in larger scholarly IR 
environments.
The availability of new IR test collections that contain citation and 
bibliographic information like the iSearch collection or the ACL collection 
could deliver enough ground to interest (again) the IR community in these kind 
of bibliographic systems. The long-term research goal is to develop and 
evaluate new approaches based on informetrics and bibliometrics.

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, digital libraries, and 
approaches to visualize search and retrieval to move toward a deeper 
understanding of this research challenge.

This workshop is also informed by an ongoing COST Action TD1210 KnowEscape. 
http://www.knowescape.org

=== 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.

=== Submission Details ===
All submissions must be written in English following Springer LNCS author 
guidelines (4 to 8 pages) and should be submitted as PDF files to EasyChair. 
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.

Springer LNCS: http://www.springer.com/lncs
EasyChair: http://www.easychair.org/conferences/?conf=bir2014

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 ===
Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany
Andrea Scharnhorst, DANS, Royal Netherlands Academy of Arts and Sciences in 
Amsterdam, Netherlands
Birger Larsen, Aalborg University, Denmark
Philipp Schaer, GESIS - Leibniz Institute for the Social Sciences, Germany
Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany

=== Programm Committee ===
- Cornelia Caragea, University of North Texas (USA)
- Ingo Frommholz, University of Bedfordshire (UK)
- Norbert Fuhr, University of Duisburg-Essen (Germany)
- Daniel Hienert, GESIS - Leibniz Institute for the Social Sciences (Germany)
- Claus-Peter Klas, University of Hagen (Germany)
- Stasa Milojevic, Indiana University (USA)
- Lynda Tamine-Lechani, University Paul Sabatier (France)
- Howard D. White, Drexel University (USA)
- Ed A. Fox, Virginia Tech (USA)
- C. Lee Giles, Pennsylvania State University (USA)
- Stephen Robertson, University College London (UK)
- Henry Small, SciTech Stategies (USA)
- Simone Teufel, University of Cambridge (UK)
- Keith van Rijsbergen, University of Glasgow (UK)
- Xia Lin, Drexel University (USA)




--
Dr. Philipp Mayr
Team Leader
GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8,  D-50667 Köln, Germany
Tel: + 49 (0) 221 / 476 94 -533
Email: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>
Web: http://www.gesis.org<http://www.gesis.org/>

SSOAR fulltext repository with >26k docs
http://ssoar.info/

sowiport beta on vufind
http://sowiportbeta.gesis.org/

-- 
http://www.inetbib.de